Method and apparatus in node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a node used for wireless communication. The first node performs measurement on a first RS resource; and sending the first information block. The first information block comprises first channel information; the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, a first set of parameters is used to generate the first channel information, and the first set of parameters depends on l. According to the method, the reporting overhead is saved while the reporting performance is improved, so that the system performance is improved.

Description

Technical Field

[0001] This application relates to transmission methods and apparatuses in a wireless communication system, and particularly to solutions and apparatuses related to channel information in a wireless communication system. Background Art

[0002] In traditional wireless communication, a UE (User Equipment) reports various auxiliary information obtained by measuring downlink signals and / or channels, such as channel information, beam management related auxiliary information, positioning related auxiliary information, HARQ-ACK (Hybrid Automatic Repeat Request Acknowledgement) information, beam / wireless link failure auxiliary information, etc. The UE reports this information to a network device, and the network device selects appropriate transmission parameters for the UE according to the UE's report, such as a resident cell, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), etc. In addition, the UE report can be used to optimize network parameters, such as better cell coverage, switching base stations according to the UE's location, etc.

[0003] In NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technology was initiated to explore its impact on system performance and system design. AI / ML aims to significantly improve various performances of wireless communication by using advanced artificial intelligence and machine learning technologies. Using AI / ML technology, the system can not only intelligently provide high-quality services according to the perception and learning of the surrounding environment, such as scheduling, data reception, signal processing, encoding / decoding, measurement and reporting, etc., but also intelligently achieve self-optimization and self-maintenance of the network. Compared with traditional processing methods, AI / ML has some unique characteristics, such as relying on models, being based on training, requiring deployment, and having different requirements for computing / processing capabilities and storage capabilities from traditional technologies. According to the 3GPP (3rd Generation Partnership Project) standard TS (Technical Specification) 38.300, AI / ML models and algorithms are outside the scope of 3GPP. Summary of the Invention

[0004] The applicant has found through research that when AI / ML functions are introduced, the existing measurement, calculation, and reporting mechanisms may not be able to meet the requirements of AI / ML. For example, AI / ML models are based on training, and training relies on a large amount of training data. The impact of the measurement and transmission of a large amount of training data on the communication system is an issue that needs to be considered. In response to the above problems, the present application discloses a solution. It should be noted that although the motivation of the present application comes from the application of AI / ML, and a large number of embodiments are directed to AI / ML, the present application is also applicable to other solutions, such as traditional measurement, calculation, and reporting solutions. Although the description of some AI / ML models and algorithms is involved in the specification of the present application, those of ordinary skill in the art know that these descriptions are not necessary or irreplaceable for wireless cellular communication-related solutions. In addition, adopting a unified solution in different scenarios (including but not limited to AI / ML-based solutions and traditional measurement, calculation, and reporting solutions) helps to reduce signaling overhead / complexity, reduce hardware complexity and cost. Without conflict, the embodiments and features in the first node of the present application can be applied to the second node, and vice versa. Without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily.

[0005] When needed, the interpretation of the terms in the present application refers to the definitions in the 3GPP specification protocol TS38 series, or, refers to the definitions in the 3GPP specification protocol TS28 series.

[0006] The present application discloses a method in a first node for wireless communication, characterized by including:

[0007] Measure on a first RS resource;

[0008] Send a first information block, the first information block including first channel information;

[0009] Wherein, the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on the l.

[0010] As an embodiment, the problems to be solved by the present application include how to optimize the reporting of channel information.

[0011] As an embodiment, in the above method, the first parameter set used to generate the first channel information depends on the layer to which the first channel information is directed, thus solving this problem.

[0012] As an embodiment, the above method allows the first node to use different parameters for different layers to generate channel information, which better optimizes the relationship between the reliability and overhead of channel information reporting, reducing the overhead while improving the reporting reliability.

[0013] As an embodiment, the advantages of the above method include optimizing the overall system performance.

[0014] As an embodiment, the advantages of the above method include flexible design to adapt to different terminals.

[0015] As an embodiment, the advantages of the above method include good forward compatibility.

[0016] According to one aspect of the present application, it is characterized in that it includes:

[0017] Transmit a second information block;

[0018] Wherein, the second information block indicates the first parameter set.

[0019] As an embodiment, the advantages of the above method include better flexibility to adapt to different terminals and application scenarios.

[0020] According to one aspect of the present application, it is characterized in that the first information block includes K channel information, where K is a positive integer greater than 1, the first channel information is one of the K channel information, and the K channel information respectively corresponds to K layers; K parameter sets are respectively used to generate the K channel information, and at least two of the K parameter sets are different.

[0021] As an embodiment, the advantages of the above method include using different parameters for different layers to generate channel information, which optimizes the relationship between the reliability and overhead of channel information reporting.

[0022] According to one aspect of the present application, it is characterized in that the first information block includes a first channel quality, and the calculation of the first channel quality is conditional on the K channel information.

[0023] As an embodiment, the advantages of the above method include good backward compatibility.

[0024] According to one aspect of the present application, it is characterized in that it includes:

[0025] Transmit a second information block;

[0026] Wherein, the second information block indicates all or part of the K parameter sets.

[0027] As an example, the benefits of the above method include better flexibility to adapt to different terminals and application scenarios.

[0028] According to one aspect of the present application, it is characterized in that the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0029] As an example, the benefits of the above method include selecting the time-frequency resource for the first channel information according to the actual channel environment, improving the accuracy and efficiency of reporting.

[0030] According to one aspect of the present application, it is characterized in that it includes:

[0031] Receiving a first configuration information block;

[0032] Wherein, the first configuration information block indicates at least one of the configuration information of the first RS resource and the first information block.

[0033] As an example, the benefits of the above method include flexible signaling design.

[0034] As an example, the benefits of the above method include good backward compatibility.

[0035] According to one aspect of the present application, it is characterized in that the first information block belongs to a first data set.

[0036] As an example, the benefits of the above method include better meeting the special needs of AI or ML solutions and optimizing the performance improvement brought by AI or ML solutions.

[0037] As an example, the benefits of the above method include optimizing the data reporting for AI / ML training.

[0038] According to one aspect of the present application, it is characterized in that the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearer supported by 3GPP R19.

[0039] As an example, the benefits of the above method include good forward compatibility.

[0040] According to one aspect of the present application, it is characterized in that the first channel information is associated with a first identifier, and a first model is associated with the first identifier.

[0041] As an example, the benefits of the above method include optimizing the data reporting for AI / ML model training, reducing the reporting overhead while ensuring the reporting accuracy, thereby optimizing the performance of AI / ML solutions.

[0042] As an embodiment, the benefits of the above method include making the model training and inference of AI / ML more matching, and further improving the performance of the AI / ML solution.

[0043] As an embodiment, the benefits of the above method include making the functions of the AI / ML model more specialized, reducing the number of parameters required by the model, reducing complexity, and improving performance at the same time.

[0044] This application discloses a method in a second node for wireless communication, characterized by including:

[0045] Receiving a first information block, where the first information block includes first channel information;

[0046] Wherein, the first channel information depends on measurements on a first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on the l.

[0047] According to one aspect of this application, it is characterized by including:

[0048] Receiving a second information block;

[0049] Wherein, the second information block indicates the first parameter set.

[0050] According to one aspect of this application, the first information block includes K channel information, where K is a positive integer greater than 1, the first channel information is one of the K channel information, and the K channel information is respectively for K layers; K parameter sets are respectively used to generate the K channel information, and at least two of the K parameter sets are different.

[0051] According to one aspect of this application, the first information block includes a first channel quality, and the calculation of the first channel quality is conditional on the K channel information.

[0052] According to one aspect of this application, it is characterized by including:

[0053] Receiving a second information block;

[0054] Wherein, the second information block indicates all or part of the K parameter sets.

[0055] According to one aspect of this application, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0056] According to one aspect of this application, it is characterized by including:

[0057] Transmit a first configuration information block;

[0058] Wherein, the first configuration information block indicates at least one of the configuration information of the first RS resource and the first information block.

[0059] According to one aspect of the present application, it is characterized in that the first information block belongs to a first data set.

[0060] According to one aspect of the present application, it is characterized in that the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0061] According to one aspect of the present application, it is characterized in that the first channel information is associated with a first identifier, and a first model is associated with the first identifier.

[0062] The present application discloses a first node for wireless communication, which is characterized by including:

[0063] A first receiver that measures on a first RS resource;

[0064] A first transmitter that transmits a first information block, where the first information block includes first channel information;

[0065] Wherein, the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on l.

[0066] The present application discloses a second node for wireless communication, which is characterized by including:

[0067] A first processor that receives a first information block, where the first information block includes first channel information;

[0068] Wherein, the first channel information depends on the measurement on a first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on l.

[0069] As an embodiment, compared with the traditional solution, the present application has the following advantages:

[0070] More accurate reporting of channel information, improving system performance;

[0071] While improving the reporting performance, the reporting overhead is saved;

[0072] Flexible design and good forward compatibility;

[0073] Fully optimize the performance improvement brought by AI or ML technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Other features, objects, and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments read in conjunction with the accompanying drawings:

[0075] Figure 1 A flowchart showing a first RS resource and a first information block according to an embodiment of the present application;

[0076] Figure 2 A schematic diagram showing a network architecture according to an embodiment of the present application;

[0077] Figure 3 A schematic diagram showing an embodiment of a radio protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0078] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application;

[0079] Figure 5 A diagram showing a transmission between a first node and a second node according to an embodiment of the present application;

[0080] Figure 6 A schematic diagram showing a first channel information according to an embodiment of the present application;

[0081] Figure 7 A schematic diagram showing a first channel information according to an embodiment of the present application;

[0082] Figure 8 A schematic diagram showing a first channel information according to an embodiment of the present application;

[0083] Figure 9 A schematic diagram showing a second information block according to an embodiment of the present application;

[0084] Figure 10 A schematic diagram showing K parameter sets and K channel information according to an embodiment of the present application;

[0085] Figure 11 A schematic diagram showing that K channel information are respectively used to generate K sets of precoding matrices according to an embodiment of the present application;

[0086] Figure 12 A schematic diagram showing that K channel information are respectively used to generate K sets of precoding matrices according to an embodiment of the present application;

[0087] Figure 13A schematic diagram showing that a first information block according to an embodiment of the present application includes a first channel quality;

[0088] Figure 14 A schematic diagram showing a second information block according to an embodiment of the present application;

[0089] Figure 15 A schematic diagram showing a first time-frequency resource according to an embodiment of the present application;

[0090] Figure 16 A schematic diagram showing a first configuration information block according to an embodiment of the present application;

[0091] Figure 17 A schematic diagram showing that a first information block according to an embodiment of the present application belongs to a first data set;

[0092] Figure 18 A schematic diagram showing that a first information block according to an embodiment of the present application is transmitted on a first radio bearer;

[0093] Figure 19 A schematic diagram showing that a first channel information and a first model according to an embodiment of the present application are both associated with a first identifier;

[0094] Figure 20 A schematic diagram showing the deployment of a first model according to an embodiment of the present application;

[0095] Figure 21 A schematic diagram showing a processing system based on artificial intelligence or machine learning according to an embodiment of the present application;

[0096] Figure 22 A schematic diagram showing based on artificial intelligence or machine learning according to an embodiment of the present application;

[0097] Figure 23 A schematic diagram showing the deployment of an AI function according to an embodiment of the present application;

[0098] Figure 24 A schematic diagram showing the deployment of an AI function according to an embodiment of the present application;

[0099] Figure 25 A structural block diagram showing a processing device in a first node according to an embodiment of the present application;

[0100] Figure 26 A structural block diagram showing a processing device in a second node according to an embodiment of the present application. Detailed implementation manners

[0101] The technical solution of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that, without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art have the motivation to flexibly combine the embodiments in different drawings without conflict, for example, but not limited to the embodiments in the appended Figure 1 and the appended Figure 5 - appended Figure 26 and the embodiments in the appended Figure 5 and the appended Figure 6 - appended Figure 26 and the embodiments in the appended

[0102] Example 1

[0103] Embodiment 1 exemplifies a flowchart of a first RS resource and a first information block according to an embodiment of the present application, as shown in the appended Figure 1 shown. In the 100 shown in the appended Figure 1 shown, each box represents a step. In particular, the order of the steps in the box does not represent a specific time sequence between the steps.

[0104] In Embodiment 1, the first node measures on the first RS resource in step 101; and sends a first information block in step 102. Wherein, the first information block includes first channel information; the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on the l.

[0105] As an embodiment, the first RS resource includes a CSI-RS (Channel State Information Reference Signal) resource.

[0106] As an embodiment, the first RS resource includes an SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resource.

[0107] As an embodiment, the first RS resource includes a DMRS (Demodulation Reference Signal).

[0108] As an embodiment, the first RS resource includes a PRS (Positioning Reference Signal) resource.

[0109] As an example, the first RS resource includes PTRS (Phase-Tracking Reference Signal).

[0110] As an example, the first RS resource is a CSI-RS resource.

[0111] As an example, the first RS resource is an SS / PBCH block resource.

[0112] As an example, the first RS resource is DMRS.

[0113] As an example, the first RS resource is a PRS resource.

[0114] As an example, the first RS resource is PTRS.

[0115] As an example, the first RS resource includes multiple ports.

[0116] As an example, the port includes an antenna port.

[0117] As an example, the port includes an RS port.

[0118] As an example, the port includes a CSI-RS port.

[0119] As an example, measuring on the first RS resource means measuring the RS transmitted on the first RS resource.

[0120] As an example, measuring on the first RS resource means measuring the RS transmitted on the first RS resource.

[0121] As an example, the measurement includes channel measurement.

[0122] As an example, the measurement includes measurement of received power.

[0123] As an example, the measurement includes measurement of a channel matrix.

[0124] As an example, the measurement includes interference measurement.

[0125] As an example, the first information block includes CSI (Channel State Information).

[0126] As an example, the first information block includes UCI (Uplink Control Information).

[0127] As an embodiment, the first information block includes a MAC CE (Medium Access Control layer Control Element).

[0128] As an embodiment, the first information block includes an RRC (Radio Resource Control) IE (Information Element).

[0129] As an embodiment, the first information block includes a UE capability IE (UE capability IE).

[0130] As an embodiment, the first information block includes one or more of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator), RI (Rank Indicator), SSBRI (SS / PBCH Block Resource Indicator), RSRP (Reference Signal received power), SINR (Signal-to-Interference and Noise Ratio), RSRQ (Reference Signal Received Quality), RSSI (Received Signal Strength Indicator), Capability Index, and TDCP (Time Domain Channel Properties).

[0131] As a preferred embodiment, the first channel information is a PMI.

[0132] As a preferred embodiment, the first channel information includes some or all of the information in the PMI.

[0133] As an embodiment, the first channel information includes some or all of the information in the codebook-based PMI.

[0134] As an embodiment, the first channel information is a codebook-based PMI.

[0135] As an embodiment, the codebook refers to the codebook supported by 3GPP R18 or earlier versions.

[0136] As an embodiment, the codebook is a Type II codebook.

[0137] As a preferred embodiment, the first channel information is a PMI based on a Type II codebook.

[0138] As a preferred embodiment, the first channel information includes some or all of the information in the PMI based on a Type II codebook.

[0139] As an embodiment, the Type II codebook includes an enhanced Type II codebook and a further enhanced Type II codebook.

[0140] As an embodiment, the Type II codebook includes the codebooks in Sections 5.2.2.2.3 to 5.2.2.2.11 of 3GPP TS38.214.

[0141] As an embodiment, for the definition of the Type II codebook, see Sections 5.2.2.2.3 to 5.2.2.2.11 of 3GPP TS38.214.

[0142] As an embodiment, the first channel information includes the part for layer l of the PMI based on a Type II codebook.

[0143] As an embodiment, the first channel information includes the part of the PMI based on a Type II codebook that is used to generate the precoding matrix for layer l.

[0144] As an embodiment, the first channel information includes a precoding matrix.

[0145] As an embodiment, the first channel information includes precoding information.

[0146] As an embodiment, the first channel information is used to determine at least one precoding matrix.

[0147] As an embodiment, the first channel information includes small-scale characteristics.

[0148] As an embodiment, the first channel information includes channel parameters.

[0149] As an embodiment, the first channel information includes a channel matrix.

[0150] As an embodiment, the channel matrix is in the spatial-frequency domain.

[0151] As an embodiment, the channel matrix is in the angular-delay domain projection.

[0152] As an embodiment, the first channel information includes an eigenvector.

[0153] As an embodiment, the first channel information includes an eigenvector and an eigenvalue.

[0154] As an embodiment, the first channel information depends on channel measurements on the first RS resource.

[0155] As an embodiment, the calculation of the first channel information depends on channel measurements on the first RS resource.

[0156] As an embodiment, the first node calculates the first RS resource based on the measurements on the first channel information.

[0157] As an embodiment, the first node calculates the first RS resource based on channel measurements on the first channel information.

[0158] As an embodiment, the first node obtains channel measurements for calculating the first channel information based on the first RS resource.

[0159] As an embodiment, the first node obtains channel measurements for calculating the first channel information only based on the first RS resource.

[0160] As a preferred embodiment, the layer refers to: the MIMO (Multiple Input Multiple Output) layer.

[0161] As a preferred embodiment, the layer refers to: the transmission layer.

[0162] As an embodiment, the first channel information is used to generate a precoding matrix for layer l.

[0163] As an embodiment, for layer l, the first channel information means that the first channel information is used to generate a precoding matrix for layer l.

[0164] As an embodiment, for layer l, the first channel information means that the first channel information includes the part of the PMI that is used to generate the precoding matrix for the layer.

[0165] As a preferred embodiment, l is a positive integer.

[0166] As an embodiment, the l is a positive integer not greater than 4.

[0167] As an embodiment, the l is a positive integer not greater than 8.

[0168] As an embodiment, the l is a positive integer not greater than 16.

[0169] As an embodiment, the layer l is the l-th layer.

[0170] As an embodiment, the first parameter set includes one or more parameters.

[0171] As a preferred embodiment, the first channel information includes some or all of the information in the codebook-based PMI, and the first parameter set includes the parameters of the codebook.

[0172] As a preferred embodiment, the first channel information includes some or all of the information in the PMI based on the Type II codebook, and the first parameter set includes the parameters of the Type II codebook.

[0173] As a preferred embodiment, the number of bits included in the first channel information depends on the first parameter set.

[0174] As a preferred embodiment, the payload size of the first channel information depends on the first parameter set.

[0175] As an embodiment, the accuracy of the first channel information depends on the first parameter set.

[0176] As an embodiment, the payload size of the first channel information generated based on the first parameter set increases as the l decreases.

[0177] Benefits of the above method include using a higher payload size for layers with higher importance to improve their reporting accuracy, improving system performance while reducing reporting overhead.

[0178] As an embodiment, the accuracy of the first channel information generated based on the first parameter set increases as the l decreases.

[0179] Benefits of the above method include using a higher reporting accuracy for layers with higher importance, improving system performance while reducing reporting overhead.

[0180] As an embodiment, the smaller the l, the higher the importance of the layer l among all layers.

[0181] As an example, the smaller the l is, the larger the eigenvalue of the eigenvector corresponding to layer l is.

[0182] As an example, the first parameter set includes frequency domain configuration parameters.

[0183] As an example, the frequency domain configuration parameters include higher layer parameters whose names include reportFreqConfiguration.

[0184] As an example, the frequency domain configuration parameters in the first parameter set indicate the frequency domain resources for which the first channel information is targeted.

[0185] As an example, the first parameter set includes parameters related to the number of vectors and coefficients.

[0186] As an example, the parameters related to the number of vectors and coefficients include at least one of the higher layer parameters whose names include numberOfBeams, the higher layer parameters whose names include paramCombination, the higher layer parameters whose names include numberOfPMI-SubbandsPerCQI-Subband, and the higher layer parameters whose names include subbandAmplitude.

[0187] As an example, the first channel information indicates multiple vectors and multiple coefficients, and the number of vectors among the multiple vectors and the number of coefficients with non-fixed values among the multiple coefficients depend on the parameters related to the number of vectors and coefficients in the first parameter set.

[0188] As an example, the first parameter set includes quantization-related parameters.

[0189] As an example, the quantization-related parameters include higher layer parameters whose names include phaseAlphabetSize.

[0190] As an example, the first channel information indicates multiple coefficients, and the rounding range of at least some of the multiple coefficients depends on the quantization-related parameters in the first parameter set.

[0191] As an example, the first parameter set includes time slot interval configuration parameters.

[0192] As an example, the time slot interval configuration parameters include higher layer parameters whose names include td-dd-config.

[0193] As an example, the first parameter set includes some or all of the frequency domain configuration parameters, parameters related to the number of vectors and coefficients, quantization related parameters, and time slot interval configuration parameters.

[0194] As an example, the first parameter set includes the frequency domain configuration parameters and the parameters related to the number of vectors and coefficients.

[0195] As an example, the first parameter set includes the frequency domain configuration parameters, the parameters related to the number of vectors and coefficients, and the quantization related parameters.

[0196] As an example, the first parameter set includes the frequency domain configuration parameters, the parameters related to the number of vectors and coefficients, the quantization related parameters, and the time slot interval configuration parameters.

[0197] As an example, the first parameter set includes higher layer parameters whose names include reportFreqConfiguration.

[0198] As an example, the first parameter set includes higher layer parameters whose names include numberOfBeams.

[0199] As an example, the first parameter set includes higher layer parameters whose names include paramCombination.

[0200] As an example, the first parameter set includes higher layer parameters whose names include numberOfPMI-SubbandsPerCQI-Subband.

[0201] As an example, the first parameter set includes higher layer parameters whose names include td-dd-config.

[0202] As an example, the first channel information indicates a plurality of vectors and a plurality of coefficients.

[0203] As a sub-example of the above example, the generation of the plurality of vectors and the plurality of coefficients depends on the first parameter set.

[0204] As a sub-example of the above example, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0205] As a reference example of the above sub-example, any precoding matrix in the at least one precoding matrix depends on the sum of the plurality of vectors weighted by the weighting coefficients, and the weighting coefficients depend on the plurality of coefficients.

[0206] As a sub - embodiment of the above - mentioned embodiment, the number of vectors indicated by the first channel information depends on the first parameter set.

[0207] As a sub - embodiment of the above - mentioned embodiment, the number of vectors indicated by the first channel information depends on at least one of the parameter related to the number of vectors and coefficients in the first parameter set and the frequency - domain configuration parameter.

[0208] As a sub - embodiment of the above - mentioned embodiment, the number of coefficients indicated by the first channel information depends on the first parameter set.

[0209] As a sub - embodiment of the above - mentioned embodiment, the number of coefficients with non - fixed values indicated by the first channel information depends on the first parameter set.

[0210] As a sub - embodiment of the above - mentioned embodiment, the number of coefficients with non - fixed values indicated by the first channel information depends on the parameter related to the number of vectors and coefficients in the first parameter set.

[0211] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include amplitude coefficients, and the number of non - zero amplitude coefficients among the multiple coefficients depends on the parameter related to the number of vectors and coefficients in the first parameter set.

[0212] As a sub - embodiment of the above - mentioned embodiment, the value range of at least some of the multiple coefficients depends on the first parameter set.

[0213] As a sub - embodiment of the above - mentioned embodiment, the value range of at least some of the multiple coefficients depends on at least one of the parameter related to the number of vectors and coefficients in the first parameter set and the parameter related to quantization.

[0214] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include multiple amplitude coefficients, and the number of non - zero amplitude coefficients indicated by the first channel information increases as l decreases.

[0215] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include multiple phase coefficients, and the number of phase coefficients with non - fixed values indicated by the first channel information increases as l decreases.

[0216] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include multiple sub - band amplitude coefficients, and the number of sub - band amplitude coefficients with non - fixed values indicated by the first channel information increases as l decreases.

[0217] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include multiple amplitude coefficients, and the quantization precision of at least some non - zero amplitude coefficients indicated by the first channel information increases as the value of l decreases.

[0218] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include multiple phase coefficients, and the quantization precision of at least some non - fixed - value phase coefficients indicated by the first channel information increases as the value of l decreases.

[0219] As a sub - embodiment of the above - mentioned embodiment, the multiple coefficients include multiple sub - band amplitude coefficients, and the quantization precision of at least some non - fixed - value sub - band amplitude coefficients indicated by the first channel information increases as the value of l decreases.

[0220] The above - mentioned method provides different reporting accuracies for the channel information of different importance levels, reducing the overhead while improving the system performance.

[0221] As an embodiment, the first channel information is used to determine multiple precoding matrices, and the multiple precoding matrices are respectively for multiple time - frequency resources.

[0222] As a sub - embodiment of the above - mentioned embodiment, the first channel information indicates multiple vectors and multiple coefficients, and the multiple vectors and the multiple coefficients are used to generate the multiple precoding matrices.

[0223] As a sub - embodiment of the above - mentioned embodiment, the number of the multiple precoding matrices depends on the first parameter set.

[0224] As a sub - embodiment of the above - mentioned embodiment, the number of the multiple precoding matrices depends on at least one of the frequency - domain configuration parameter and the time - slot interval configuration parameter in the first parameter set.

[0225] As a sub - embodiment of the above - mentioned embodiment, the multiple time - frequency resources depend on the first parameter set.

[0226] As a sub - embodiment of the above - mentioned embodiment, at least one of the time - domain length and the frequency - domain length of any one of the multiple time - frequency resources depends on the first parameter set.

[0227] As a sub - embodiment of the above - mentioned embodiment, the time - domain length of any one of the multiple time - frequency resources depends on the time - slot interval configuration parameter in the first parameter set.

[0228] As a sub - embodiment of the above - mentioned embodiment, the frequency - domain length of any one of the multiple time - frequency resources depends on the frequency - domain configuration parameter in the first parameter set.

[0229] As an example, the time domain length of a time-frequency resource is expressed as s (seconds), ms (milliseconds), or μs (microseconds).

[0230] As an example, the time domain length of a time-frequency resource is expressed as the number of symbols, the number of time slots, the number of frames, or the number of sub-frames.

[0231] As an example, the frequency domain length of a time-frequency resource is expressed as Hz, kHz, or MHz.

[0232] As an example, the frequency domain length of a time-frequency resource is expressed as the number of sub-carriers, the number of RBs (Resource Blocks), or the number of sub-bands.

[0233] As an example, the first channel information is used to determine W precoding matrices, and the W precoding matrices are respectively for W PMI sub-bands, where W is a positive integer.

[0234] As an example, the W depends on the frequency domain configuration parameter included in the first parameter set.

[0235] As an example, the W is equal to 1.

[0236] As an example, the W is greater than 1.

[0237] As an example, the length of each PMI sub-band among the W PMI sub-bands depends on the first parameter set.

[0238] As an example, the length of each PMI sub-band among the W PMI sub-bands depends on the frequency domain configuration parameter in the first parameter set.

[0239] As an example, a PMI sub-band includes a positive integer number of consecutive RBs.

[0240] As an example, the length of a PMI sub-band refers to the number of RBs included in the one PMI sub-band.

[0241] As an example, a PMI sub-band is a sub-band or a part of a sub-band.

[0242] As an example, one of the sub-bands includes a plurality of consecutive RBs.

[0243] As an example, the sub-band includes a CQI sub-band.

[0244] As an example, the sub-band refers to the CQI sub-band.

[0245] As an embodiment, except for the subbands located at the edge of the BWP (Bandwidth Part), the number of RBs included in other subbands increases as the BWP bandwidth increases.

[0246] As an embodiment, except for the subbands located at the edge of the BWP, the number of RBs included in any subband is P0, where P0 is a positive integer greater than 1.

[0247] As an embodiment, the P0 is indicated by higher layer signaling.

[0248] As a sub - embodiment of the above - mentioned embodiment, the P0 is indicated by a higher layer parameter whose name includes subbandSize.

[0249] As a sub - embodiment of the above - mentioned embodiment, the P0 is indicated by the higher layer parameter subbandSize.

[0250] As an embodiment, the P0 is related to the number of RBs included in the BWP.

[0251] As an embodiment, the number of RBs included in the starting subband of a BWP is P0 – (Ns mod P0); the number of RBs included in the last subband of a BWP is (Ns + Nw) mod P0 or P0, where Ns is the index of the starting RB of the BWP and Nw is the number of RBs included in the BWP.

[0252] As an embodiment, the sub - carrier spacing corresponding to an RB or a subband is fixed.

[0253] As an embodiment, the sub - carrier spacing corresponding to an RB or a subband varies with the frequency range to which it belongs.

[0254] As an embodiment, the RB includes a PRB (Physical Resource Block).

[0255] As an embodiment, the W depends on a first coefficient, and the first coefficient is a positive integer.

[0256] As an embodiment, the length of each PMI subband in the W PMI subbands depends on a first coefficient, and the first coefficient is a positive integer.

[0257] As an embodiment, the first parameter set indicates the first coefficient.

[0258] As a preferred embodiment, the first parameter set includes the first coefficient.

[0259] As an example, the parameter related to the number of vectors and coefficients in the first parameter set includes the first coefficient.

[0260] As an example, the higher layer parameter with the name numberOfPMI-SubbandsPerCQI-Subband in the first parameter set indicates the first coefficient.

[0261] As an example, the first coefficient is a positive integer.

[0262] As an example, the first coefficient indicates the number of PMI subbands included in a subband.

[0263] As an example, the first coefficient depends on the l.

[0264] As an example, the first coefficient does not depend on the l.

[0265] As an example, any one of the W PMI subbands is composed of some or all of the RBs in one of the W1 subbands, where W1 is a positive integer, and W depends on W1 and the first coefficient.

[0266] As a sub-example of the above example, W1 is equal to 1.

[0267] As a sub-example of the above example, W1 is greater than 1.

[0268] As a sub-example of the above example, when the first coefficient is equal to 1, W is equal to W1, and the W PMI subbands are the W1 subbands.

[0269] As a sub-example of the above example, when the first coefficient is greater than 1, W is not greater than the product of W1 and the first coefficient.

[0270] As a sub-example of the above example, when the first coefficient is greater than 1, W is equal to the product of W1 and the first coefficient, the product of W1 and the first coefficient minus 1, or the product of W1 and the first coefficient minus 2.

[0271] As a sub-example of the above example, when the first coefficient is greater than 1, except for the first PMI subband and the last PMI subband, each of the W PMI subbands is composed of some RBs in one of the W1 subbands.

[0272] As a reference embodiment of the above sub - embodiment, when the first sub - band in the W1 sub - bands is the first sub - band of the BWP, the first PMI sub - band is the first sub - band or consists of a part of the RBs in the first sub - band.

[0273] As a reference embodiment of the above sub - embodiment, when the last sub - band in the W1 sub - bands is the last sub - band of the BWP, the last PMI sub - band is the last sub - band or consists of a part of the RBs in the last sub - band.

[0274] As a sub - embodiment of the above embodiment, the frequency - domain configuration parameters included in the first parameter set indicate the W1 sub - bands.

[0275] As a sub - embodiment of the above embodiment, the frequency - domain resources targeted by the first channel information are the W1 sub - bands.

[0276] As a sub - embodiment of the above embodiment, the time - frequency resources targeted by the first channel information include the W1 sub - bands.

[0277] As an embodiment, the frequency density of the first RS resource per port per PRB within the W1 sub - bands is not less than the density at which the first RS resource is configured.

[0278] As an embodiment, the first node does not expect the frequency density of the first RS resource per port per PRB within the W1 sub - bands to be less than the density at which the first RS resource is configured.

[0279] As an embodiment, the density at which the first RS resource is configured refers to the number of REs (Resource Elements) per port per PRB.

[0280] As an embodiment, the density at which the first RS resource is configured is configured by the higher - layer parameter density.

[0281] As an embodiment, the first channel information is used to determine N precoding matrix groups, and the N precoding matrix groups are respectively for N slot intervals, where N is a positive integer.

[0282] As an embodiment, the first channel information indicates a plurality of vectors and a plurality of coefficients, and the plurality of vectors and the plurality of coefficients are used to generate the N precoding matrix groups.

[0283] As an embodiment, N equals 1.

[0284] As an embodiment, N is greater than 1.

[0285] As an embodiment, both the N and the length of each of the N time slot intervals depend on the first parameter set.

[0286] As an embodiment, both the N and the length of each of the N time slot intervals depend on the time slot interval configuration parameter in the first parameter set.

[0287] As a sub - embodiment of the above - mentioned embodiment, the time slot interval configuration parameter in the first parameter set indicates the N.

[0288] As a sub - embodiment of the above - mentioned embodiment, the time slot interval configuration parameter in the first parameter set indicates a first time slot interval length, and the length of each of the N time slot intervals is equal to the first time slot interval length.

[0289] As an embodiment, the N time slot intervals are continuous in the time domain.

[0290] As an embodiment, the lengths of the N time slot intervals are equal.

[0291] As an embodiment, a time slot interval includes a positive integer number of consecutive time slots.

[0292] As an embodiment, the length of a time slot interval refers to the number of time slots included in the time slot interval.

[0293] As an embodiment, each of the N precoding matrix groups includes W precoding matrices.

[0294] As a sub - embodiment of the above - mentioned embodiment, the W depends on at least one of the parameter related to the number of vectors and coefficients and the frequency domain configuration parameter in the first parameter set.

[0295] As a sub - embodiment of the above - mentioned embodiment, the W precoding matrices are respectively for W PMI sub - bands, the W and the length of each of the W PMI sub - bands depend on a first coefficient, and the first parameter set includes the first coefficient.

[0296] As an embodiment, the first channel information indicates L vectors.

[0297] As a sub - embodiment of the above - mentioned embodiment, the L vectors are used to calculate the W precoding matrices.

[0298] As a sub - embodiment of the above - mentioned embodiment, the W precoding matrices depend on the sum of the L vectors weighted by weighting coefficients.

[0299] As an example, the first channel information indicates L vectors and M vectors.

[0300] As a sub - example of the above example, the L vectors and the M vectors are jointly used to calculate the W precoding matrices.

[0301] As a sub - example of the above example, the W precoding matrices depend on the sum of the L vectors weighted by weighting coefficients, and the weighting coefficients depend on the M vectors.

[0302] As an example, the first channel information indicates L vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2.

[0303] As a sub - example of the above example, the L vectors and the L2 coefficient groups are jointly used to calculate the W precoding matrices.

[0304] As a sub - example of the above example, the W precoding matrices depend on the sum of the L vectors weighted by weighting coefficients, and the weighting coefficients depend on the L2 coefficient groups.

[0305] As an example, the first channel information indicates L vectors, M vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2.

[0306] As a sub - example of the above example, the L vectors, the M vectors and the L2 coefficient groups are jointly used to calculate the W precoding matrices.

[0307] As a sub - example of the above example, the W precoding matrices depend on the sum of the L vectors weighted by weighting coefficients, and the weighting coefficients depend on the M vectors and the L2 coefficient groups.

[0308] As an example, the first channel information indicates L vectors, M vectors, Q vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2.

[0309] As a sub - example of the above example, the L vectors, the M vectors, the Q vectors and the L2 coefficient groups are jointly used to calculate the N groups of precoding matrices.

[0310] As a sub - example of the above example, the N groups of precoding matrices depend on the sum of the L vectors weighted by weighting coefficients, and the weighting coefficients depend on the M vectors, the Q vectors and the L2 coefficient groups.

[0311] As an example, L is a positive integer greater than 1.

[0312] As an embodiment, the L is the number of beams.

[0313] As an embodiment, the L depends on the number of beams.

[0314] As an embodiment, the L increases as the number of beams increases.

[0315] As an embodiment, the L vectors are pairwise orthogonal to each other.

[0316] As an embodiment, the L vectors respectively represent L beams.

[0317] As an embodiment, the length of any one of the L vectors depends on the number of ports.

[0318] As an embodiment, the length of any one of the L vectors is equal to the number of ports of the first RS resource.

[0319] As an embodiment, any one of the L vectors can be expressed as where where q1 and q2 are non-negative integers respectively, and any two different vectors among the L vectors have different values of the q1, or different values of the q2, or different values of the q1 and the q2; N1, N2, O1 and O2 are positive integers respectively, the N1 and the N2 are respectively the number of ports, and the O1 and the O2 depend on the N1 and the N2.

[0320] As a sub-embodiment of the above embodiment, the O1 and the O2 depend on the first parameter set.

[0321] As a sub-embodiment of the above embodiment, the first parameter set indicates the O1 and the O2.

[0322] As a sub-embodiment of the above embodiment, the number of ports of the first RS resource is equal to the product of the N1 and the N2.

[0323] As an embodiment, the L vectors are related to the spatial domain characteristics or the angular domain characteristics of the channel.

[0324] As a preferred embodiment, the first channel information indicates the L vectors by indicating the q1 and the q2.

[0325] As an embodiment, the first channel information indicates the q1 and the q2 corresponding to each of the L vectors.

[0326] As an embodiment, the L depends on the first parameter set.

[0327] As an example, the parameter related to the number of vectors and coefficients in the first parameter set indicates the L.

[0328] As an example, the L is independent of the l.

[0329] As an example, the first parameter set indicates the L, and the L indicated by the first parameter set is independent of the l.

[0330] As an example, the M is a positive integer greater than 1.

[0331] As an example, any two of the M vectors are orthogonal to each other.

[0332] As an example, the length of any one of the M vectors is equal to the W.

[0333] As an example, any one of the M vectors can be expressed as wherein, the q3 is a non-negative integer, and the value of the q3 is different for any two different vectors among the M vectors.

[0334] As an example, the M vectors are related to frequency domain characteristics or delay domain characteristics.

[0335] As a preferred example, the first channel information indicates the M vectors by indicating the q3.

[0336] As an example, the first channel information indicates that each of the M vectors indicates the corresponding q3.

[0337] As an example, the M depends on the first parameter set.

[0338] As an example, the M depends on at least one of the parameter related to the number of vectors and coefficients included in the first parameter set and the frequency domain configuration parameter.

[0339] As an example, the first channel information is for W1 subbands, and the M depends on the W1.

[0340] As an example, the M increases as the W1 increases.

[0341] As an example, the first channel information is used to determine W precoding matrices, the W precoding matrices are respectively for W PMI subbands, and the M depends on the W.

[0342] As an example, the M increases as the W increases.

[0343] As an example, M depends on the product of W and a second coefficient, and the second coefficient is a positive real number less than 1.

[0344] As an example, M depends on W, a first coefficient, and a second coefficient, and the second coefficient is a positive real number less than 1.

[0345] As a sub - example of the above example, M is equal to the integer obtained by dividing W by the first coefficient and then multiplying by the second coefficient.

[0346] As a preferred example, the second coefficient depends on the first set of parameters.

[0347] As an example, the first set of parameters indicates the second coefficient.

[0348] As an example, the parameter related to the number of vectors and coefficients in the first set of parameters indicates the second coefficient.

[0349] As a preferred example, the first set of parameters includes the first coefficient, and the parameter related to the number of vectors and coefficients in the first set of parameters indicates the second coefficient.

[0350] As an example, M depends on l.

[0351] As an example, M does not depend on l.

[0352] As an example, the second coefficient depends on l.

[0353] As an example, the second coefficient does not depend on l.

[0354] As an example, Q is a positive integer greater than 1.

[0355] As an example, any two of the Q vectors are orthogonal to each other.

[0356] As an example, the length of any one of the Q vectors is equal to N.

[0357] As an example, any one of the Q vectors can be expressed as where q4 is a non - negative integer, and the value of q4 is different for any two different vectors among the Q vectors.

[0358] As an example, the Q vectors are related to Doppler domain characteristics or time domain characteristics.

[0359] As a preferred example, the first channel information indicates the Q vectors by indicating q4.

[0360] As an example, each of the Q vectors in the first channel information indicates the corresponding q4.

[0361] As an example, the Q depends on the first parameter set.

[0362] As an example, the time slot interval configuration parameter in the first parameter set indicates the Q.

[0363] As an example, the Q does not depend on the l.

[0364] As an example, the length of any one of the N time slot intervals depends on the first parameter set.

[0365] As an example, the time slot interval configuration parameter in the first parameter set indicates the length of any one of the N time slot intervals.

[0366] As an example, the length of any one of the N time slot intervals does not depend on the l.

[0367] As an example, the number of coefficients in the L2 coefficient groups depends on the first parameter set.

[0368] As an example, the number of non-fixed value coefficients in the L2 coefficient groups depends on the first parameter set.

[0369] As an example, the number of non-fixed value coefficients in the L2 coefficient groups depends on the parameter related to the number of vectors and coefficients in the first parameter set.

[0370] As an example, any one of the L2 coefficient groups includes at least one amplitude coefficient.

[0371] As an example, any one of the L2 coefficient groups includes at least one phase coefficient.

[0372] As an example, any one of the L2 coefficient groups includes at least one sub-band amplitude coefficient.

[0373] As an example, any one of the L2 coefficient groups includes at least one amplitude coefficient and at least one phase coefficient.

[0374] As an example, any one of the L2 coefficient groups includes at least one amplitude coefficient, at least one phase coefficient and at least one sub-band amplitude coefficient.

[0375] As an example, the weighting coefficient of any one of the L vectors depends on the product of the amplitude coefficient and the phase coefficient.

[0376] As an example, the weighting coefficient of any one of the L vectors is equal to the product of an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient.

[0377] As an example, the first channel information explicitly indicates the L2 coefficient groups.

[0378] As an example, the first channel information implicitly indicates the L2 coefficient groups.

[0379] As an example, the first channel information explicitly indicates a part of the coefficients in the L2 coefficient groups and implicitly indicates another part of the coefficients in the L2 coefficient groups.

[0380] As an example, the first channel information indicates the coefficient group where the strongest coefficient in the L2 coefficient groups is located, and the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient included in the coefficient group where the strongest coefficient is located are all 1.

[0381] As an example, the first channel information indicates the non-fixed-value coefficients in the L2 coefficient groups and indicates the positions of the non-fixed-value coefficients.

[0382] As a sub-example of the above example, for the amplitude coefficient, the non-fixed value means not fixed to 0; for the phase coefficient, the non-fixed value means not fixed to 1; for the sub-band amplitude coefficient, the non-fixed value means not fixed to 1.

[0383] As an example, the upper limit of the total number of non-zero coefficients included in the L2 coefficient groups depends on a third coefficient, and the third coefficient is a positive real number less than 1. The parameter in the first parameter set related to the number of vectors and coefficients indicates the third coefficient.

[0384] As an example, the non-zero coefficient refers to a non-zero amplitude coefficient.

[0385] As an example, the value range of at least some of the coefficients in the L2 coefficient groups depends on the first parameter set.

[0386] As an example, the value range of at least some of the coefficients in the L2 coefficient groups depends on the quantization-related parameters in the first parameter set.

[0387] As an example, the number of non-zero amplitude coefficients in the L2 coefficient groups depends on the first parameter set.

[0388] As an example, the number of non-zero magnitude coefficients in the L2 coefficient groups depends on the parameter related to the vector and the number of coefficients in the first parameter set.

[0389] As an example, the value range of at least some of the magnitude coefficients in the L2 coefficient groups depends on the quantization-related parameter in the first parameter set.

[0390] As an example, the value range of any non-zero magnitude coefficient in the L2 coefficient groups depends on the quantization-related parameter in the first parameter set.

[0391] As an example, the first parameter set indicates at least one of the upper limit of the number of non-zero magnitude coefficients included in one of the L2 coefficient groups and the upper limit of the total number of non-zero magnitude coefficients included in the L2 coefficient groups.

[0392] As an example, the first channel information indicates the non-zero magnitude coefficients in the L2 coefficient groups and indicates the positions of the non-zero magnitude coefficients.

[0393] As an example, the number of phase coefficients included in the L2 coefficient groups depends on the first parameter set.

[0394] As an example, the number of non-fixed phase coefficients in the L2 coefficient groups depends on the first parameter set.

[0395] As an example, the number of non-fixed phase coefficients in the L2 coefficient groups depends on the parameter related to the vector and the number of coefficients in the first parameter set.

[0396] As an example, the first parameter set indicates the upper limit of the number of non-fixed phase coefficients in the L2 coefficient groups.

[0397] As an example, the first channel information indicates the non-fixed phase coefficients in the L2 coefficient groups and indicates the positions of the non-fixed phase coefficients.

[0398] As an example, the value range of at least some of the phase coefficients in the L2 coefficient groups depends on the first parameter set.

[0399] As an example, the value range of at least some of the phase coefficients in the L2 coefficient groups depends on the quantization-related parameter in the first parameter set.

[0400] As an example, the value range of any non-fixed phase coefficient in the L2 coefficient groups depends on the quantization-related parameter in the first parameter set.

[0401] As an example, any non-fixed-value phase coefficient in the L2 coefficient groups is expressed as e j2πc / N3 , where c is a non-negative integer, N3 is a positive integer greater than 1, N3 is configurable, and for any non-fixed-value phase coefficient in the L2 coefficient groups, c needs to be indicated.

[0402] As an example, the non-fixed-value phase coefficient refers to a phase coefficient that is not fixed to 1, and for any phase coefficient fixed to 1, the corresponding c is fixed to 0.

[0403] As an example, the first channel information indicates the corresponding c for each non-fixed-value phase coefficient in the L2 coefficient groups.

[0404] As an example, the first channel information indicates the non-fixed-value phase coefficients in the L2 coefficient groups by indicating the corresponding c for each non-fixed-value phase coefficient in the L2 coefficient groups.

[0405] As a preferred example, N3 depends on the first parameter set.

[0406] As an example, N3 depends on the quantization-related parameters in the first parameter set.

[0407] As an example, for some non-fixed-value phase coefficients in the L2 coefficient groups, N3 is equal to a first integer; for another part of the non-fixed-value phase coefficients in the L2 coefficient groups, N3 is equal to a second integer; the first integer is not equal to the second integer.

[0408] As an example, at least one of the first integer and the second integer depends on the first parameter set.

[0409] As an example, the quantization-related parameters in the first parameter set indicate at least one of the first integer and the second integer.

[0410] As an example, the quantization-related parameters in the first parameter set include the first integer and the second integer.

[0411] As an example, at least one of the first integer and the second integer depends on l.

[0412] As an example, at least one of the first integer and the second integer increases as l decreases.

[0413] As an example, the number of subband amplitude coefficients with non-fixed values in the L2 coefficient groups depends on the first parameter set.

[0414] As an example, the number of subband amplitude coefficients with non-fixed values in the L2 coefficient groups depends on the parameter related to the vector and coefficient number in the first parameter set.

[0415] As an example, the first parameter set indicates the upper limit of the number of subband amplitude coefficients with non-fixed values in the L2 coefficient groups.

[0416] As an example, the first channel information indicates the subband amplitude coefficients with non-fixed values in the L2 coefficient groups and indicates the positions of the subband amplitude coefficients with non-fixed values.

[0417] As an example, the subband amplitude coefficients with non-fixed values refer to the subband amplitude coefficients that are not fixed to 1.

[0418] As an example, the value ranges of at least some of the subband amplitude coefficients in the L2 coefficient groups depend on the first parameter set.

[0419] As an example, the value ranges of at least some of the subband amplitude coefficients in the L2 coefficient groups depend on the quantization-related parameters in the first parameter set.

[0420] As an example, the number of subband amplitude coefficients fixed to 1 included in the L2 coefficient groups depends on the parameter related to the vector and coefficient number in the first parameter set.

[0421] As an example, the amplitude coefficient is a non-negative real number not greater than 1.

[0422] As an example, the amplitude coefficient is a positive real number not greater than 1.

[0423] As an example, the phase coefficient is a complex number with a modulus of 1.

[0424] As an example, the subband amplitude coefficient is a positive real number not greater than 1.

[0425] As an example, the value range of a coefficient indicates the quantization accuracy of this coefficient.

[0426] As an example, the value range of a coefficient is related to the quantization accuracy of this coefficient.

[0427] As an example, the value range of a coefficient is related to the number of bits required to represent this coefficient.

[0428] As an example, the first node determines the first parameter set according to the l.

[0429] As an example, the target recipient of the first information block determines the first parameter set according to the l.

[0430] As an example, all parameters in the first parameter set depend on the l.

[0431] As a preferred example, only some parameters in the first parameter set depend on the l.

[0432] The advantages of the above method include more flexible design, achieving a better balance between performance and overhead.

[0433] As an example, some parameters in the first parameter set depend on the l, and some other parameters do not depend on the l.

[0434] As an example, the parameters related to the vector and the number of coefficients in the first parameter set depend on the l.

[0435] As an example, the parameters related to the vector and the number of coefficients in the first parameter set indicate multiple parameters, some of the multiple parameters depend on the l, and some other parameters do not depend on the l.

[0436] As a sub - example of the above example, the multiple parameters include the number of beams, and the number of beams does not depend on the l.

[0437] As a sub - example of the above example, the multiple parameters include the first coefficient, and the first coefficient depends on the l.

[0438] As a sub - example of the above example, the multiple parameters include the first coefficient, and the first coefficient does not depend on the l.

[0439] As a sub - example of the above example, the multiple parameters include the second coefficient, and the second coefficient does not depend on the l.

[0440] As a sub - example of the above example, the multiple parameters include the second coefficient, and the second coefficient depends on the l.

[0441] As a sub - example of the above example, the multiple parameters include the third coefficient, and the third coefficient depends on the l.

[0442] As an example, the quantization - related parameters in the first parameter set depend on the l.

[0443] As an example, the quantization-related parameter in the first parameter set indicates the N3, and the N3 depends on the l.

[0444] As an example, the quantization-related parameter in the first parameter set indicates at least one of the first integer and the second integer, and at least one of the first integer and the second integer depends on the l.

[0445] As an example, the frequency domain configuration parameter included in the first parameter set does not depend on the l.

[0446] As an example, the time slot interval configuration parameter included in the first parameter set does not depend on the l.

[0447] As an example, the first node generates the first channel information based on the first parameter set.

[0448] Generally speaking, how the first node generates the first channel information based on the first parameter set is determined by the hardware device manufacturer itself. Some non-limiting implementation manners are introduced below:

[0449] As an example, the first node obtains an original channel matrix based on the result of the measurement on the first RS resource; the first node projects the original channel matrix onto a basis matrix to obtain weights on each basis vector; the first node determines a plurality of basis vectors with the highest importance and their coefficients based on the first parameter set, and represents the plurality of basis vectors with the highest importance and their coefficients in the form of a Type II codebook based on the first parameter set.

[0450] As an example, one of the basis matrices is a full-rank matrix.

[0451] As an example, the product of one of the basis matrices and its conjugate transpose is an identity matrix.

[0452] As an example, the basis matrix includes at least one of a spatial domain or angle domain basis matrix, a frequency domain or delay domain time domain basis matrix, and a time domain or Doppler domain basis matrix.

[0453] Example 2

[0454] Embodiment 2 exemplifies a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the appendix Figure 2 as follows.

[0455] Appendix Figure 2Describes the network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in the future continuous evolution of 3GPP; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services. However, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination towards UE 201. Node 203 can be connected to other nodes 204 via the Xn interface (e.g., backhaul) / X2 interface. Node 203 can also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (Transmit Receive Point), or some other suitable term. The core network 210 is 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is 6GC; node 203 provides an access point for UE 201 to the core network 210.Examples of the UE 201 include cellular phones, smart phones, Session Initiation Protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to the UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term. The node 203 is connected to the core network 210 through the S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Date Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that processes the signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transmitted through the S-GW / UPF 212, and the S-GW / UPF 212 itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. The Internet service 230 includes carrier-corresponding Internet protocol services, specifically including the Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0456] As an embodiment, the first node includes the UE 201.

[0457] As an embodiment, the second node includes the node 203.

[0458] As an example, the radio link between the UE 201 and the node 203 includes a cellular network link.

[0459] As an example, the sender of the RS in the first RS resource includes the node 203.

[0460] As an example, the receiver of the RS in the first RS resource includes the UE 201.

[0461] As an example, the sender of the first information block includes the UE 201.

[0462] As an example, the receiver of the first information block includes the node 203.

[0463] As an example, the sender of the second information block includes the UE 201.

[0464] As an example, the receiver of the second information block includes the node 203.

[0465] As an example, the sender of the first configuration information block includes the node 203.

[0466] As an example, the receiver of the first configuration information block includes the UE 201.

[0467] As an example, the UE 201 supports operations based on AI or ML.

[0468] As an example, the node 203 supports operations based on AI or ML.

[0469] Example 3

[0470] Embodiment 3 exemplifies a schematic diagram of an embodiment of a radio protocol architecture for a user plane and a control plane according to an embodiment of the present application, as shown in the appendix Figure 3 as shown.

[0471] Embodiment 3 shows a schematic diagram of an embodiment of a radio protocol architecture for a user plane and a control plane according to an embodiment of the present application, as shown in the appendix Figure 3 as shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture of the control plane 300 for the first communication node device (UE, gNB or RSU in V2X) and the second communication node device (gNB, UE or RSU in V2X), or between two UEs, is shown with three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. Layer 1 will be referred to as PHY 301 in this document. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, and these sublayers terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides handover support for the first communication node device between the second communication node devices. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for disordered reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). The radio protocol architecture for the first communication node device and the second communication node device in the user plane 350 is generally the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 further includes an SDAP (Service Data Adaptation Protocol) sub-layer 356. The SDAP sub-layer 356 is responsible for the mapping between QoS flows and data radio bearers (DRBs) to support service diversity. Although not shown, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, server, etc.).

[0472] As an example, the Figure 3 radio protocol architecture in is applicable to the first node.

[0473] As an example, the Figure 3 radio protocol architecture in is applicable to the second node.

[0474] As an example, the higher layer in this application refers to the layer above the physical layer.

[0475] As an example, the first information block is generated in the PHY301 or the PHY351.

[0476] As an example, the first information block is generated in the MAC sub-layer 302 or the MAC sub-layer 352.

[0477] As an example, the second information block is generated in the MAC sub-layer 302 or the MAC sub-layer 352.

[0478] As an example, the second information block is generated in the RRC sub-layer 306.

[0479] As an example, the first configuration information block is generated in the RRC sub-layer 306.

[0480] Example 4

[0481] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in the appendix Figure 4 shown. The appendix Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 that communicate with each other in an access network.

[0482] The first communication device 410 includes a controller / processor 475, a memory 476, a receiving processor 470, a transmitting processor 416, a multi-antenna receiving processor 472, a multi-antenna transmitting processor 471, a transmitter / receiver 418, and an antenna 420.

[0483] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454, and an antenna 452.

[0484] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital space precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, to generate one or more parallel streams. The transmit processor 416 then maps each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilots) in the time domain and / or frequency domain, and then uses the inverse fast Fourier transform (IFFT) to generate a physical channel carrying time-domain multi-carrier symbol streams. Subsequently, the multi-antenna transmit processor 471 performs transmit analog precoding / beamforming operations on the time-domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency streams, and then provides them to different antennas 420.

[0485] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives signals via its respective antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multi-carrier symbol stream provided to the receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 perform various signal processing functions of the L1 layer. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operations on the baseband multi-carrier symbol stream from the receivers 454. The receive processor 456 uses the fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receive processor 456, where the reference signal will be used for channel estimation, and the data signal recovers any parallel streams destined for the second communication device 450 after multi-antenna detection in the multi-antenna receive processor 458. The symbols on each parallel stream are demodulated and recovered in the receive processor 456, and soft decisions are generated. Subsequently, the receive processor 456 decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. Subsequently, the upper layer data and control signals are provided to the controller / processor 459. The controller / processor 459 performs the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 that stores program code and data. The memory 460 may be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between the transmission and the logical channel, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the core network. Subsequently, the upper layer data packets are provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using the acknowledgement (ACK) and / or negative acknowledgement (NACK) protocols to support the HARQ operation.

[0486] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide an upper layer data packet to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmission processor 468 performs modulation mapping and channel coding processing. A multi-antenna transmission processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Subsequently, the transmission processor 468 modulates the generated parallel streams into multi-carrier / single-carrier symbol streams, and after passing through analog precoding / beamforming operations in the multi-antenna transmission processor 457, provides them to different antennas 452 via a transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmission processor 457 into a radio frequency symbol stream and then provides it to the antenna 452.

[0487] In the transmission from the second communication device 450 to the first communication device 410, the functions at the first communication device 410 are similar to the receiving functions at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receiving processor 472 and a receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement L1 layer functions. A controller / processor 475 implements L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover the upper layer data packet from the second communication device 450. The upper layer data packet from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using the ACK and / or NACK protocols to support HARQ operations.

[0488] As an example, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used in conjunction with the at least one processor. The second communication device 450 is configured to at least: measure on the first RS resource; and transmit the first information block. The first information block includes first channel information; the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, the first parameter set depending on the l.

[0489] As an example, the second communication device 450 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program causing actions when executed by at least one processor, the actions including: measuring on the first RS resource; and transmitting the first information block.

[0490] As an example, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used in conjunction with the at least one processor. The first communication device 410 is configured to at least: receive the first information block. The first information block includes first channel information; the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, the first parameter set depending on the l.

[0491] As an example, the first communication device 410 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program causing actions when executed by at least one processor, the actions including: receiving the first information block.

[0492] As an example, the first node in the present application includes the second communication device 450.

[0493] As an example, the second node in the present application includes the first communication device 410.

[0494] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to measure on the first RS resource; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit on the first RS resource.

[0495] As an example, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, the memory 476} is used to receive the first information block; at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, the data source 467} is used to transmit the first information block.

[0496] As an example, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, the memory 476} is used to receive the second information block; at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, the data source 467} is used to transmit the second information block.

[0497] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to receive the first configuration information block; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit the first configuration information block.

[0498] Example 5

[0499] Embodiment 5 exemplifies a flowchart of a transmission according to an embodiment of the present application; as shown in the attached Figure 5 figures. In the attached Figure 5 figures, the second node U1 and the first node U2 are communication nodes for transmission through an air interface. In the attached Figure 5Among them, the steps in box F51 to box F56 are optional respectively.

[0500] For the second node U1, send the first configuration information block in step S5101; send it on the first RS resource in step S5102; receive the second information block in step S5103; receive the first information block in step S511.

[0501] For the first node U2, receive the first configuration information block in step S5201; measure on the first RS resource in step S521; send the second information block in step S5202; send the first information block in step S522; deploy the first model in step S5203; perform inference of the first model in step S5204.

[0502] In Embodiment 5, the first information block includes first channel information; the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on l.

[0503] As an embodiment, the first node U2 is the first node in this application.

[0504] As an embodiment, the second node U1 is the second node in this application.

[0505] As an embodiment, the air interface between the second node U1 and the first node U2 includes the wireless interface between the base station device and the user equipment.

[0506] As an embodiment, the air interface between the second node U1 and the first node U2 includes the wireless interface between the relay node device and the user equipment.

[0507] As an embodiment, the air interface between the second node U1 and the first node U2 includes the interface between the core network device and the user equipment.

[0508] As an embodiment, the air interface between the second node U1 and the first node U2 includes the interface between the OTT (Over-The-Top) server and the user equipment.

[0509] As an embodiment, the air interface between the second node U1 and the first node U2 includes the interface between the NAS (Network Access Server) device and the user equipment.

[0510] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipments.

[0511] As an embodiment, the second node U1 includes a serving cell maintaining base station of the first node U2.

[0512] As an embodiment, the second node U1 includes an OTT (Over-The-Top) server.

[0513] As an embodiment, the second node U1 includes an OAM (Operation Administration and Maintenance).

[0514] As an embodiment, the second node U1 includes a NAS device.

[0515] As an embodiment, the second node U1 includes a core network device.

[0516] As an embodiment, the first information block is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0517] As an embodiment, the first information block is transmitted on a PUCCH (Physical Uplink Control Channel).

[0518] As an embodiment, append Figure 5 If the step in block F53 in [appendix] exists, the method in the second node for wireless communication includes: transmitting on the first RS resource.

[0519] As an embodiment, transmitting on the first RS resource means transmitting RS on the first RS resource.

[0520] As an embodiment, append Figure 5 If the step in block F53 in [appendix] does not exist, the sender of the first RS resource is different from the second node U1.

[0521] As an embodiment, the second node U1 is a core network device, and the sender of the first RS resource is the serving cell of the first node.

[0522] As an embodiment, the sender of the first RS resource means the sender of the RS in the first RS resource.

[0523] As an embodiment, append Figure 5The steps in box F54 exist, and the second information block indicates the first parameter set.

[0524] As an example, the second information block is transmitted on the PUSCH.

[0525] As an example, the first information block includes the second information block.

[0526] As an example, the second information block and the first information block are respectively transmitted on different PUSCHs.

[0527] As an example, the second information block is transmitted on the PUSCH, and the first information block is transmitted on the PUCCH.

[0528] As an example, the transmission of the second information block is earlier than the transmission of the first information block.

[0529] As an example, the transmission of the second information block is later than the transmission of the first information block.

[0530] As an example, the first information block includes K channel information, where K is a positive integer greater than 1. The first channel information is one of the K channel information, and the K channel information respectively corresponds to K layers; K parameter sets are respectively used to generate the K channel information, and at least two of the K parameter sets are different.

[0531] As an example, the first information block includes a first channel quality, and the calculation of the first channel quality is conditional on the K channel information.

[0532] As an example, attached Figure 5 The steps in box F54 exist, and the second information block indicates all or part of the K parameter sets.

[0533] As an example, the first channel information corresponds to a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0534] As an example, attached Figure 5 The steps in box F52 exist, and the first configuration information block indicates at least one of both the first RS resource and the configuration information of the first information block.

[0535] As an example, attached Figure 5 The steps in box F51 exist, and the first configuration information block indicates at least one of both the first RS resource and the configuration information of the first information block.

[0536] As an example, the first configuration information block is transmitted on the PDSCH.

[0537] As an example, Figure 5 if the steps in both of the boxes F51 and F52 in

[0538] As an example, Figure 5 if the step in box F51 does not exist and the step in F52 exists, the sender of the first configuration information block is different from the second node U1.

[0539] As an example, the first information block belongs to the first data set.

[0540] As an example, the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0541] As an example, the first channel information is associated with a first identifier, and a first model is associated with the first identifier.

[0542] As an example, Figure 5 if the step in box F55 in

[0543] deploy the first model.

[0544] As an example, the deployment of the first model is earlier than the transmission of the first information block.

[0545] As an example, the deployment of the first model is later than the transmission of the first information block.

[0546] As an example, Figure 5 if the step in box F56 in

[0547] Example 6

[0548] Example 6 exemplifies a schematic diagram of the first channel information according to an embodiment of the present application; as in Figure 6As shown. In Embodiment 6, the first channel information indicates L vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2; the L vectors and the L2 coefficient groups are used to determine a first precoding matrix; the first precoding matrix is equal to the concatenation of a first sub-matrix and a second sub-matrix, the first sub-matrix is equal to the sum of the L vectors weighted by L first weighting coefficients respectively, the second sub-matrix is equal to the sum of the L vectors weighted by L second weighting coefficients respectively, the L first weighting coefficients depend on the first L coefficient groups among the L2 coefficient groups, the L second weighting coefficients depend on the last L coefficient groups among the L2 coefficient groups; any one of the L2 coefficient groups includes at least one of an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient among the three.

[0549] In the appendix Figure 6 Among them, the L vectors are represented as vector #i (i = 0 to L - 1); the first L coefficient groups among the L2 coefficient groups are represented as coefficient group #i (i = 0 to L - 1), and the last L coefficient groups among the L2 coefficient groups are represented as coefficient group #(L + i) (i = 0 to L - 1); the L first weighting coefficients and the L second weighting coefficients are respectively represented as first weighting coefficient #i (i = 0 to L - 1) and second weighting coefficient #i (i = 0 to L - 1); the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient included in coefficient group #i (i = 0 to L - 1) are respectively represented as first amplitude coefficient #i, first phase coefficient #i, and first sub-band amplitude coefficient #i; the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient included in coefficient group #(L + i) (i = 0 to L - 1) are respectively represented as second amplitude coefficient #i, second phase coefficient #i, and second sub-band amplitude coefficient #i.

[0550] As an embodiment, any one of the L2 coefficient groups includes at least the first two of an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient among the three.

[0551] As an embodiment, any one of the L2 coefficient groups includes an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient.

[0552] As an embodiment, the first channel information indicates the coefficient group where the strongest coefficient among the L2 coefficient groups is located, and the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient included in the coefficient group where the strongest coefficient is located are all equal to 1.

[0553] As an example, the L first weighting coefficients correspond to the first L coefficient groups one by one, and the first weighting coefficient #i (i = 0, …, L−1) corresponds to the coefficient group #i; the coefficient group #i includes a non-zero amplitude coefficient and a phase coefficient, and the first weighting coefficient #i is equal to the product of the non-zero amplitude coefficient and the phase coefficient; or the coefficient group #i includes a non-zero amplitude coefficient, a phase coefficient, and a subband amplitude coefficient, and the first weighting coefficient #i is equal to the product of the non-zero amplitude coefficient, the phase coefficient, and the subband amplitude coefficient; or the coefficient group #i includes a zero amplitude coefficient, and the first weighting coefficient #i is equal to 0.

[0554] As an example, the L second weighting coefficients correspond to the last L coefficient groups one by one, and the second weighting coefficient #i (i = 0, …, L−1) corresponds to the coefficient group #(L + i). The coefficient group #(L + i) includes a non-zero amplitude coefficient and a phase coefficient, and the second weighting coefficient #i is equal to the product of the non-zero amplitude coefficient and the phase coefficient; or the coefficient group #(L + i) includes a non-zero amplitude coefficient, a phase coefficient, and a subband amplitude coefficient, and the second weighting coefficient #i is equal to the product of the non-zero amplitude coefficient, the phase coefficient, and the subband amplitude coefficient; or the coefficient group #(L + i) includes a zero amplitude coefficient, and the second weighting coefficient #i is equal to 0.

[0555] As an example, any one of the L2 coefficient groups includes an amplitude coefficient, a phase coefficient, and a subband amplitude coefficient; the L first weighting coefficients correspond to the first L coefficient groups one by one, and any one of the L first weighting coefficients is equal to the product of the amplitude coefficient, the phase coefficient, and the subband amplitude coefficient included in the corresponding coefficient group; the L second weighting coefficients correspond to the last L coefficient groups one by one, and any one of the L second weighting coefficients is equal to the product of the amplitude coefficient, the phase coefficient, and the subband amplitude coefficient included in the corresponding coefficient group.

[0556] As an example, the first parameter set indicates the L.

[0557] As an example, the number of non-zero amplitude coefficients in the L2 coefficient groups depends on the parameter related to the vector and the number of coefficients in the first parameter set.

[0558] As a sub-example of the above example, the number of non-zero amplitude coefficients in the L2 coefficient groups depends on the l.

[0559] As an example, the parameter related to the vector and the number of coefficients in the first parameter set indicates an upper limit on the number of non-zero magnitude coefficients in the L2 coefficient groups.

[0560] As a sub-example of the above example, the upper limit on the number of non-zero magnitude coefficients in the L2 coefficient groups depends on the l.

[0561] As an example, the number of sub-band magnitude coefficients included in the L2 coefficient groups depends on the parameter related to the vector and the number of coefficients in the first parameter set.

[0562] As an example, the number of sub-band magnitude coefficients with non-fixed values included in the L2 coefficient groups depends on the parameter related to the vector and the number of coefficients in the first parameter set.

[0563] As a sub-example of the above example, the number of sub-band magnitude coefficients with non-fixed values in the L2 coefficient groups depends on the l.

[0564] As an example, the parameter related to the vector and the number of coefficients in the first parameter set indicates an upper limit on the number of sub-band magnitude coefficients with non-fixed values included in the L2 coefficient groups.

[0565] As an example, the upper limit on the number of sub-band magnitude coefficients with non-fixed values included in the L2 coefficient groups depends on the l.

[0566] As an example, the parameter related to quantization in the first parameter set indicates a value range of at least some of the magnitude coefficients in the L2 coefficient groups.

[0567] As an example, the value range of at least some of the magnitude coefficients in the L2 coefficient groups depends on the l.

[0568] As an example, the first magnitude coefficient in the L2 coefficient groups is taken from a first magnitude group, and the first magnitude group includes a plurality of magnitudes.

[0569] As a sub-example of the above example, the first magnitude coefficient is any one of the magnitude coefficients in the L2 coefficient groups.

[0570] As a sub-example of the above example, the first magnitude coefficient is any one of the non-zero magnitude coefficients in the L2 coefficient groups.

[0571] As a sub-example of the above example, the parameter related to quantization in the first parameter set indicates the first magnitude group.

[0572] As a sub-example of the above example, the first magnitude group depends on the l.

[0573] As a sub - embodiment of the above - mentioned embodiment, when the l is less than the first threshold, the first amplitude group is the first candidate amplitude group; when the l is not less than the first threshold, the first amplitude group is the second candidate amplitude group; the first candidate amplitude group and the second candidate amplitude group each include a maximum amplitude equal to 1, a minimum amplitude, and one or more other amplitudes between the maximum amplitude and the minimum amplitude; the number of amplitudes in the first candidate amplitude group is greater than the number of amplitudes in the second candidate amplitude group.

[0574] As a reference embodiment of the above - mentioned sub - embodiment, when the minimum amplitude is equal to 0.

[0575] As a reference embodiment of the above - mentioned sub - embodiment, when the minimum amplitude is a positive real number less than 1.

[0576] As a reference embodiment of the above - mentioned sub - embodiment, the minimum amplitudes in the first candidate amplitude group and the second candidate amplitude group are equal.

[0577] As a reference embodiment of the above - mentioned sub - embodiment, the minimum amplitude in the first candidate amplitude group is less than the minimum amplitude in the second candidate amplitude group.

[0578] As a sub - embodiment of the above - mentioned embodiment, regardless of the value of l, the first amplitude group remains unchanged.

[0579] As an embodiment, the quantization - related parameters in the first parameter set indicate the value range of at least part of the phase coefficients of the L2 coefficient groups.

[0580] As an embodiment, the value range of at least part of the phase coefficients of the L2 coefficient groups depends on the l.

[0581] As an embodiment, the first phase coefficient is a non - fixed - value phase coefficient in the L2 coefficient groups, and the first phase coefficient is e j2πc1 / N3 , where N3 is a positive integer greater than 1, c1 takes values from 0, 1, …, N3 - 1; the first channel information indicates the c1.

[0582] As a sub - embodiment of the above - mentioned embodiment, the first phase coefficient is any non - fixed - value phase coefficient in the L2 coefficient groups.

[0583] As a sub - embodiment of the above - mentioned embodiment, the first channel information indicates the first phase coefficient by indicating the c1.

[0584] As a sub - embodiment of the above - mentioned embodiment, the quantization - related parameter in the first parameter set indicates the N3.

[0585] As a sub - embodiment of the above - mentioned embodiment, the N3 depends on the l.

[0586] As a reference embodiment of the above - mentioned sub - embodiment, when the l is less than the first threshold, the value of N3 is greater than the value of N3 when the l is not less than the first threshold.

[0587] As a sub - embodiment of the above - mentioned embodiment, when the amplitude coefficient corresponding to the first phase coefficient is one of the P1 largest amplitude coefficients among all the amplitude coefficients in the L2 coefficient groups, the N3 is equal to the first integer; when the amplitude coefficient corresponding to the first phase coefficient is not one of the largest P1 amplitude coefficients, the N3 is equal to the second integer; the first integer is greater than the second integer.

[0588] As a reference embodiment of the above - mentioned sub - embodiment, the first parameter set indicates the P1.

[0589] As a reference embodiment of the above - mentioned sub - embodiment, the parameter related to the vector and coefficient quantity in the first parameter set indicates the P1.

[0590] As a reference embodiment of the above - mentioned sub - embodiment, the P1 depends on the l.

[0591] As a reference embodiment of the above - mentioned sub - embodiment, when the l is less than the first threshold, the value of P1 is greater than the value of P1 when the l is not less than the first threshold.

[0592] As a reference embodiment of the above - mentioned sub - embodiment, the quantization - related parameter in the first parameter set indicates at least one of the first integer and the second integer.

[0593] As a reference embodiment of the above - mentioned sub - embodiment, at least one of the first integer and the second integer depends on the l.

[0594] As an embodiment, the quantization - related parameter in the first parameter set indicates the value range of at least some sub - band amplitude coefficients of the L2 coefficient groups.

[0595] As an embodiment, the value range of at least some sub - band amplitude coefficients of the L2 coefficient groups depends on the l.

[0596] As an example, a sub-band amplitude coefficient with a non-fixed value among the L2 coefficient groups of the first sub-band amplitude coefficients is taken from the first sub-band amplitude group, and the first sub-band amplitude group includes multiple sub-band amplitudes.

[0597] As a sub-example of the above example, the first sub-band amplitude coefficient is any non-fixed value sub-band amplitude coefficient among the L2 coefficient groups.

[0598] As a sub-example of the above example, the quantization-related parameter in the first parameter set indicates the first sub-band amplitude group.

[0599] As a sub-example of the above example, the first sub-band amplitude group depends on the l.

[0600] As a sub-example of the above example, when the l is less than the first threshold, the first sub-band amplitude group is the first candidate sub-band amplitude group; when the l is not less than the first threshold, the first sub-band amplitude group is the second candidate sub-band amplitude group; the first candidate sub-band amplitude group and the second candidate sub-band amplitude group each include a maximum sub-band amplitude equal to 1, a minimum sub-band amplitude less than 1 and greater than 0, and one or more other sub-band amplitudes between the maximum sub-band amplitude and the minimum sub-band amplitude; the number of sub-band amplitudes in the first candidate sub-band amplitude group is greater than the number of sub-band amplitudes in the second candidate sub-band amplitude group.

[0601] As an example, the parameter related to the vector and the number of coefficients in the first parameter set indicates the L.

[0602] As an example, the L does not depend on the l.

[0603] Example 7

[0604] Example 7 illustrates a schematic diagram of the first channel information according to an embodiment of the present application; as shown in the appendix Figure 7 As shown. In Example 7, the first channel information indicates L vectors, M vectors, and L2 coefficient groups, where L2 is equal to L multiplied by 2; the L vectors, the M vectors, and the L2 coefficient groups are used to determine W precoding matrices, and the length of any one of the M vectors is equal to the W; in the appendix Figure 7Among them, the W precoding matrices are represented as precoding matrix #t (t = 0, …, W−1); the precoding matrix #t (t = 0, …, W−1) is equal to the concatenation of a first sub-matrix #t and a second sub-matrix #t, the first sub-matrix is equal to the sum of the L vectors weighted by L first weighting coefficients respectively, the second sub-matrix is equal to the sum of the L vectors weighted by L second weighting coefficients respectively, the L first weighting coefficients depend on the first L coefficient groups among the L2 coefficient groups and the M vectors, and the L second weighting coefficients depend on the last L coefficient groups among the L2 coefficient groups and the M vectors; any one of the L2 coefficient groups includes M coefficient subgroups, and any one of the coefficient subgroups in any one of the L2 coefficient groups includes an amplitude coefficient and a phase coefficient.

[0605] In the appendix Figure 7 Among them, the L vectors are represented as vector #i (i = 0 to L−1); the first L coefficient groups among the L2 coefficient groups are represented as coefficient group #i (i = 0 to L−1), and the last L coefficient groups among the L2 coefficient groups are represented as coefficient group #(L + i) (i = 0 to L−1); the L first weighting coefficients and the L second weighting coefficients are respectively represented as first weighting coefficient #i (i = 0 to L−1) and second weighting coefficient #i (i = 0 to L−1); the M coefficient subgroups in coefficient group #i (i = 0 to L−1) are respectively represented as coefficient subgroup #(i, 0), …, coefficient subgroup #(i, M−1); the amplitude coefficient and the phase coefficient included in coefficient subgroup #(i, f) (i = 0 to L−1, f = 0, …, M−1) are respectively represented as first amplitude coefficient #(i, f) and first phase coefficient #(i, f); the M coefficient subgroups in coefficient group #(L + i) (i = 0 to L−1) are respectively represented as coefficient subgroup #(L + i, 0), …, coefficient subgroup #(L + i, M−1); the amplitude coefficient and the phase coefficient included in coefficient subgroup #(L + i, f) (i = 0 to L−1, f = 0, …, M−1) are respectively represented as second amplitude coefficient #(i, f) and second phase coefficient #(i, f); the elements in the M vectors are represented as element #(t, f) (t = 0, …, W−1, f = 0, …, M−1).

[0606] In Embodiment 7, element #(0, f), …, element #(W−1, f) constitute one of the M vectors, f = 0, …, M−1.

[0607] As an embodiment, the L first weighting coefficients correspond one-to-one with the first L coefficient groups, and the first weighting coefficient #i (i = 0, …, L−1) corresponds to the coefficient group #i; the first weighting coefficient #i is equal to the sum of the first values #0, …, the first value #(M−1) multiplied by a third amplitude coefficient, where the first value #f (f = 0, …, M−1) is equal to the product of the first amplitude coefficient #(i,f) and the first phase coefficient #(i,f) multiplied by the element #(t,f).

[0608] As an embodiment, the L second weighting coefficients correspond one-to-one with the last L coefficient groups, and the second weighting coefficient #i (i = 0, …, L−1) corresponds to the coefficient group #(L+i); the second weighting coefficient #i is equal to the sum of the second values #0, …, the second value #(M−1) multiplied by a fourth amplitude coefficient, where the second value #f (f = 0, …, M−1) is equal to the product of the second amplitude coefficient #(i,f) and the second phase coefficient #(i,f) multiplied by the element #(t,f).

[0609] As an embodiment, the first channel information indicates the third amplitude coefficient and the fourth amplitude coefficient.

[0610] As an embodiment, the third amplitude coefficient and the fourth amplitude coefficient are respectively positive real numbers not greater than 1.

[0611] As an embodiment, the first channel information indicates the coefficient subgroup where the strongest coefficient in the L2 coefficient groups is located, and the amplitude coefficient and the phase coefficient included in the coefficient subgroup where the strongest coefficient is located are both equal to 1.

[0612] As an embodiment, the first channel information indicates the coefficient subgroups in the L2 coefficient groups that include non-zero coefficients.

[0613] As an embodiment, the amplitude coefficients in the other coefficient subgroups of the L2 coefficient groups except the coefficient subgroups that include non-zero coefficients are defaulted to 0.

[0614] As an embodiment, the coefficients in the coefficient subgroups of the L2 coefficient groups that include non-zero coefficients are those that need to be reported.

[0615] As an embodiment, the first channel information indicates which coefficients in the L2 coefficient groups need to be reported.

[0616] As an embodiment, the coefficients in the other coefficient subgroups of the L2 coefficient groups except the coefficient subgroups that include non-zero coefficients do not need to be reported.

[0617] As an embodiment, the non-zero coefficient refers to a non-zero amplitude coefficient.

[0618] As an example, the first parameter set indicates an upper limit on the total number of non-zero coefficients included in the L2 coefficient groups.

[0619] As an example, the parameter related to the vector and the number of coefficients in the first parameter set indicates an upper limit on the total number of non-zero coefficients included in the L2 coefficient groups.

[0620] As an example, the upper limit on the total number of non-zero coefficients included in the L2 coefficient groups depends on the l.

[0621] As an example, when the l is less than a first threshold, the upper limit on the total number of non-zero coefficients included in the L2 coefficient groups is greater than the upper limit on the total number of non-zero coefficients included in the L2 coefficient groups when the l is not less than the first threshold.

[0622] As an example, the upper limit on the total number of non-zero coefficients included in the L2 coefficient groups depends on the product of the total number of coefficients in the L2 coefficient groups and a third coefficient. The parameter related to the vector and the number of coefficients in the first parameter set indicates the third coefficient, and the third coefficient is a positive real number less than 1.

[0623] As a sub-example of the above example, the third coefficient depends on the l.

[0624] As a sub-example of the above example, the third coefficient increases as the l decreases.

[0625] As an example, the parameter related to quantization in the first parameter set indicates the value range of at least some of the amplitude coefficients of the L2 coefficient groups, and the value range of at least some of the amplitude coefficients depends on the l.

[0626] As an example, the parameter related to quantization in the first parameter set indicates the value range of at least some of the phase coefficients of the L2 coefficient groups, and the value range of at least some of the phase coefficients depends on the l.

[0627] As an example, the first parameter set indicates the M.

[0628] As an example, the M depends on the frequency domain configuration parameter and the parameter related to the vector and the number of coefficients in the first parameter set.

[0629] As an example, the M depends on the l.

[0630] As an example, when the l is less than a first threshold, the value of the M is not equal to the value of the M when the l is not less than the first threshold.

[0631] As an embodiment, the W precoding matrices are respectively for W PMI subbands, where W is a positive integer, and M depends on W, the first coefficient, and the second coefficient.

[0632] As a sub - embodiment of the above - mentioned embodiment, M is equal to the integer obtained by dividing W by the first coefficient and then multiplying by the second coefficient.

[0633] As an embodiment, the first parameter set includes the first coefficient, and the parameter related to the number of vectors and coefficients in the first parameter set indicates the second coefficient.

[0634] As an embodiment, the first coefficient depends on l.

[0635] As an embodiment, when l is less than the first threshold, the first coefficient is equal to 2; when l is not less than the first threshold, the first coefficient is equal to 1.

[0636] As an embodiment, the second coefficient depends on l.

[0637] As an embodiment, when l is less than the first threshold, the value of the second coefficient is greater than the value of the second coefficient when l is not less than the first threshold.

[0638] As an embodiment, both the first coefficient and the second coefficient depend on l.

[0639] As an embodiment, the first coefficient does not depend on l, and the second coefficient depends on l.

[0640] As an embodiment, any one of the W PMI subbands belongs to one of the W1 subbands, where W1 is a positive integer, and W depends on W1 and the first coefficient.

[0641] As an embodiment, when the first coefficient is equal to 1, W is equal to W1, and the W PMI subbands are the W1 subbands; when the first coefficient is greater than 1, W is greater than W1 and not greater than the product of the first coefficient and W1.

[0642] As an embodiment, the frequency - domain configuration parameter in the first parameter set indicates the W1 subbands.

[0643] As an embodiment, W1 does not depend on l.

[0644] Example 8

[0645] Embodiment 8 exemplifies a schematic diagram of the first channel information according to an embodiment of the present application; as shown in the appendix Figure 8As shown. In Embodiment 8, the first channel information indicates L vectors, M vectors, Q vectors, and L2 coefficient groups, where L2 is equal to L multiplied by 2; the L vectors, the M vectors, the Q vectors, and the L2 coefficient groups are used to determine N groups of precoding matrices, and the N groups of precoding matrices are respectively for N time slot intervals; each group of precoding matrices in the N groups of precoding matrices includes W precoding matrices; the length of any one of the M vectors is equal to W; the length of any one of the Q vectors is equal to N. In the appendix Figure 8 The precoding matrices in the N groups of precoding matrices are represented as precoding matrix #(ι,t) (ι = 0,..., N - 1, t = 0,..., W - 1); the precoding matrix #(ι,t) (ι = 0,..., N - 1, t = 0,..., W - 1) is equal to the concatenation of a first sub-matrix and a second sub-matrix, the first sub-matrix is equal to the sum of the L vectors weighted by L first weighting coefficients respectively, the second sub-matrix is equal to the sum of the L vectors weighted by L second weighting coefficients respectively, the L first weighting coefficients depend on the first L coefficient groups among the L2 coefficient groups, the M vectors, and the Q vectors, the L second weighting coefficients depend on the last L coefficient groups among the L2 coefficient groups, the M vectors, and the Q vectors; any one of the L2 coefficient groups includes M coefficient subgroups, and any one of the coefficient subgroups in any one of the L2 coefficient groups includes Q amplitude coefficients and Q phase coefficients.

[0646] In the appendix Figure 8Among them, the L vectors are represented as vector #i (i = 0 to L - 1); the first L coefficient groups among the L2 coefficient groups are represented as coefficient group #i (i = 0 to L - 1), and the last L coefficient groups among the L2 coefficient groups are represented as coefficient group #(L + i) (i = 0 to L - 1); the L first weighting coefficients and the L second weighting coefficients are respectively represented as first weighting coefficient #i and second weighting coefficient #i (i = 0 to L - 1); the M coefficient subgroups in coefficient group #i (i = 0 to L - 1) are respectively represented as coefficient subgroup #(i, 0), …, coefficient subgroup #(i, M - 1); the Q amplitude coefficients / Q phase coefficients included in coefficient subgroup #(i, f) (i = 0 to L - 1, f = 0, …, M - 1) are respectively represented as first amplitude coefficient #(i, f, 0) / first phase coefficient #(i, f, 0), …, first amplitude coefficient #(i, f, Q - 1) / first phase coefficient #(i, f, Q - 1); the M coefficient subgroups in coefficient group #(L + i) (i = 0 to L - 1) are respectively represented as coefficient subgroup #(L + i, 0), …, coefficient subgroup #(L + i, M - 1); the Q amplitude coefficients / Q phase coefficients included in coefficient subgroup #(L + i, f) (i = 0 to L - 1, f = 0, …, M - 1) are respectively represented as second amplitude coefficient #(i, f, 0) / second phase coefficient #(i, f, 0), …, second amplitude coefficient #(i, f, Q - 1) / second phase coefficient #(i, f, Q - 1); the elements in the M vectors are represented as first element #(t, f) (t = 0, …, W - 1, f = 0, …, M - 1), and the elements in the Q vectors are represented as second element #(ι, τ) (ι = 0, …, N - 1, τ = 0, …, Q - 1).

[0647] In Embodiment 8, first element #(0, f), …, first element #(W - 1, f) constitute one vector among the M vectors, where f = 0, …, M - 1; second element #(0, τ), …, second element #(N - 1, τ) constitute one vector among the Q vectors, where τ = 0, …, Q - 1.

[0648] As an embodiment, the L first weighting coefficients and the first L coefficient groups correspond one by one, and first weighting coefficient #i (i = 0, …, L - 1) corresponds to coefficient group #i; the first weighting coefficient #i is equal to the sum of first value #0, …, first value #(M - 1) multiplied by a third amplitude coefficient, where first value #f (f = 0, …, M - 1) is equal to the sum of third value #0, …, third value #(Q - 1) multiplied by first element #(t, f), and third value #τ (τ = 0, …, Q - 1) is equal to the product of first amplitude coefficient #(i, f, τ) and first phase coefficient #(i, f, τ) multiplied by second element #(ι, τ).

[0649] As an embodiment, the L second weighting coefficients correspond one-to-one with the latter L coefficient groups, and the second weighting coefficient #i (i = 0, …, L−1) corresponds to the coefficient group #(L + i); the second weighting coefficient #i is equal to the sum of the second values #0, …, #(M−1) multiplied by the fourth amplitude coefficient, where the second value #f (f = 0, …, M−1) is equal to the product of the sum of the fourth values #0, …, #(Q−1) and the first element #(t, f), and the fourth value #τ (τ = 0, …, Q−1) is equal to the product of the second amplitude coefficient #(i, f, τ) and the second phase coefficient #(i, f, τ) multiplied by the second element #(ι, τ).

[0650] As an embodiment, the first channel information indicates the third amplitude coefficient and the fourth amplitude coefficient.

[0651] As an embodiment, the third amplitude coefficient and the fourth amplitude coefficient are respectively positive real numbers not greater than 1.

[0652] As an embodiment, the Q depends on the first parameter set.

[0653] As an embodiment, the time slot interval configuration parameter in the first parameter set indicates the Q.

[0654] As an embodiment, the Q does not depend on the l.

[0655] As an embodiment, the N time slot intervals depend on the first parameter set.

[0656] As an embodiment, the N depends on the first parameter set.

[0657] As an embodiment, the time slot interval configuration parameter in the first parameter set indicates the N.

[0658] As an embodiment, the lengths of any two of the N time slot intervals are equal.

[0659] As an embodiment, the length of any one of the N time slot intervals depends on the first parameter set.

[0660] As an embodiment, the time slot interval configuration parameter in the first parameter set indicates a first length, and the length of any one of the N time slot intervals is equal to the first length.

[0661] As an embodiment, the N does not depend on the l.

[0662] As an embodiment, the length of any one of the N time slot intervals does not depend on the l.

[0663] As an example, the first channel information indicates the coefficient subgroup to which the strongest coefficient among the L2 coefficient groups belongs and the position of the strongest coefficient in the belonging coefficient subgroup, and the amplitude coefficient and the phase coefficient at the position in the belonging coefficient subgroup of the strongest coefficient are both equal to 1.

[0664] As an example, the first channel information indicates the coefficient subgroups among the L2 coefficient groups that include non-zero coefficients and the positions of the non-zero coefficients in the belonging coefficient subgroups.

[0665] As an example, the first channel information indicates which coefficient subgroups among the L2 coefficient groups include non-zero coefficients and the positions of the non-zero coefficients in these coefficient subgroups.

[0666] As an example, the amplitude coefficients in the other coefficient subgroups among the L2 coefficient groups except the coefficient subgroups that include non-zero coefficients are all 0.

[0667] As an example, the amplitude coefficients at the positions other than the positions of the non-zero coefficients in the coefficient subgroups that include non-zero coefficients among the L2 coefficient groups are all 0.

[0668] As an example, for the L2 coefficient groups, the coefficients other than the coefficients at the positions of the non-zero coefficients in the coefficient subgroups that include non-zero coefficients do not need to be fed back.

[0669] As an example, for the L2 coefficient groups, only the coefficients at the positions of the non-zero coefficients in the coefficient subgroups that only include non-zero coefficients need to be fed back.

[0670] As an example, the first channel information indicates which coefficients among the L2 coefficient groups need to be fed back.

[0671] As an example, the non-zero coefficient refers to a non-zero amplitude coefficient.

[0672] As an example, the position refers to the nth amplitude coefficient or the nth phase coefficient among the Q amplitude coefficients or Q phase coefficients included in a coefficient subgroup.

[0673] As an example, the parameter related to the vector and the number of coefficients in the first parameter set indicates the upper limit of the total number of non-zero coefficients included in the L2 coefficient groups, and the upper limit depends on l.

[0674] As an example, the quantization-related parameter in the first parameter set indicates the value range of at least some of the amplitude coefficients of the L2 coefficient groups, and the value range of at least some of the amplitude coefficients depends on l.

[0675] As an example, the quantization-related parameters in the first parameter set indicate the value range of at least some of the phase coefficients of the L2 coefficient groups, and the value range of at least some of the phase coefficients depends on l.

[0676] Example 9

[0677] Example 9 exemplifies a schematic diagram of a second information block according to an embodiment of the present application; as shown in the appendix Figure 9 As shown. In Example 9, the second information block indicates the first parameter set.

[0678] As an example, the second information block explicitly indicates the first parameter set.

[0679] As an example, the second information block indicates each parameter in the first parameter set.

[0680] As an example, the second information block indicates the first parameter set from multiple candidate parameter sets.

[0681] As an example, some of the parameters in the first parameter set are the same as some of the parameters in a reference parameter set, and some other parameters in the first parameter set are different from some other parameters in the reference parameter set. The second information block only indicates the other parameters in the first parameter set.

[0682] As a sub-example of the above embodiment, the reference parameter set is configured by higher layer signaling.

[0683] As a sub-example of the above embodiment, the reference parameter set is configured for the first node.

[0684] As a sub-example of the above embodiment, the reference parameter set is reported by the first node.

[0685] As an example, some of the parameters in the first parameter set depend on l, and some other parameters in the first parameter set do not depend on l. The second information block only indicates the part of the parameters in the first parameter set.

[0686] As a sub-example of the above embodiment, the other part of the parameters in the first parameter set is configured by higher layer signaling.

[0687] As a sub-example of the above embodiment, the other part of the parameters in the first parameter set is configured for the first node.

[0688] As a sub - embodiment of the above - mentioned embodiment, the other part of the parameters in the first parameter set is reported by the first node.

[0689] As an embodiment, the second information block implicitly indicates the first parameter set.

[0690] As an embodiment, the second information block indicates the first parameter set by indicating other information.

[0691] As an embodiment, only a part of the parameters in the first parameter set depends on the l, and the second information block indicates the part of the parameters in the first parameter set by indicating other information.

[0692] As an embodiment, the other information includes one or more of, but is not limited to, channel environment type, moving speed, sub - carrier spacing, carrier frequency, delay spread, Doppler spread, Doppler shift, average delay, and spatial reception parameters.

[0693] As an embodiment, the first node determines the first parameter set.

[0694] As an embodiment, the first node independently determines the first parameter set.

[0695] The advantages of the above - mentioned method include giving the first node sufficient freedom to select the first parameter set according to the actual channel conditions, which optimizes the reporting.

[0696] Generally speaking, how the first node determines the first parameter set is determined by the hardware device manufacturer itself. The following are some non - restrictive implementation manners:

[0697] As an embodiment, the first node determines the first parameter set based on the l.

[0698] As an embodiment, the first node determines the first parameter set from the multiple candidate parameter sets such that when the l is smaller, the load size of the first channel information generated based on the first parameter set is larger.

[0699] As an embodiment, the first node determines the first parameter set from the multiple candidate parameter sets such that when the l is smaller, the accuracy of the first channel information generated based on the first parameter set is higher.

[0700] As an embodiment, the first parameter belongs to the parameters related to the number of vectors and coefficients in the first parameter set, and the first node determines the first parameter from M1 candidate parameters, where M1 is a positive integer greater than 1.

[0701] As an example, the first node determines the first parameter from the M1 candidate parameters based on at least one of the following:

[0702] The smaller the l, the larger the number of non-zero amplitude coefficients or non-zero coefficients indicated by the first channel information generated based on the first parameter;

[0703] The smaller the l, the larger the number of phase coefficients with non-fixed values indicated by the first channel information generated based on the first parameter;

[0704] The smaller the l, the larger the number of sub-band amplitude coefficients with non-fixed values indicated by the first channel information generated based on the first parameter;

[0705] The smaller the l, the larger the value of M.

[0706] As an example, the second parameter is a quantization-related parameter in the first parameter set, and the first node determines the second parameter from M2 candidate parameters, where M2 is a positive integer greater than 1.

[0707] As an example, the first node determines the second parameter from the M2 candidate parameters based on at least one of the following:

[0708] The smaller the l, the higher the quantization accuracy of the amplitude coefficients indicated by the first channel information generated based on the second parameter;

[0709] The smaller the l, the higher the quantization accuracy of the phase coefficients indicated by the first channel information generated based on the second parameter;

[0710] The smaller the l, the higher the quantization accuracy of the sub-band amplitude coefficients indicated by the first channel information generated based on the second parameter;

[0711] As an example, the quantization accuracy of a coefficient is related to the number of bits required to represent this coefficient.

[0712] As an example, the quantization accuracy of a coefficient increases as the number of bits required to represent the coefficient increases.

[0713] As an example, the first node determines the first parameter set based on the measurement on the first RS resource.

[0714] As an example, the first node determines the first parameter set based on the channel characteristics obtained from the measurement on the first RS resource.

[0715] As an example, the channel characteristics include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial reception parameters.

[0716] As an example, the channel characteristics include the changing speeds of the channel in the time domain and the frequency domain.

[0717] As an example, the channel characteristics include the number of spatial reflection paths of the channel.

[0718] As an example, the channel characteristics include the number of multipaths.

[0719] As an example, the channel characteristics include the number of multipaths whose contributions are greater than a threshold.

[0720] As an example, the channel characteristics include one or more of the channel impulse response, small-scale characteristics, channel matrix, and the number of eigenvalues of the channel matrix greater than a threshold.

[0721] As an example, the faster the channel changes in the frequency domain, the first node selects the first parameter set such that the larger the W.

[0722] As an example, the faster the channel changes in the frequency domain, the first node selects the first parameter set such that the smaller the number of RBs included in each PMI subband of the W PMI subbands.

[0723] As an example, the faster the channel changes in the time domain, the first node selects the first parameter set such that the smaller the N.

[0724] As an example, the faster the channel changes in the time domain, the first node selects the first parameter set such that the smaller the length of each time slot interval among the N time slot intervals.

[0725] As an example, the larger the number of spatial reflection paths of the channel, the first node selects the first parameter set such that the larger the L.

[0726] As an example, the first node randomly selects the first parameter set from multiple candidate parameter sets.

[0727] As an example, the first node sequentially selects multiple candidate parameter sets as the first parameter set.

[0728] As an example, the first node uses the result of the measurement on the first RS resource as an input for an inference, and the output of the inference includes the first set of parameters.

[0729] As an example, the first node determines all the parameters in the first set of parameters by itself.

[0730] As an example, the first node determines some of the parameters in the first set of parameters by itself, and uses the parameters in a reference set of parameters as the other part of the first set of parameters.

[0731] As an example, only some of the parameters in the first set of parameters depend on the l, and the first node determines the some of the parameters in the first set of parameters by itself.

[0732] As a sub - example of the above example, the other part of the parameters in the first set of parameters are configured for the first node.

[0733] As a sub - example of the above example, the other part of the parameters in the first set of parameters are configured by higher - layer parameters.

[0734] As a sub - example of the above example, the other part of the parameters in the first set of parameters come from a reference set of parameters.

[0735] As an example, the first channel information is used to determine at least one precoding matrix for the layer l, and the first node determines the first set of parameters such that the difference between the at least one precoding matrix and at least one optimal precoding matrix for the layer l is less than a threshold.

[0736] As a sub - example of the above example, the threshold depends on the l.

[0737] As a sub - example of the above example, the threshold increases as the l increases.

[0738] Example 10

[0739] Example 10 illustrates a schematic diagram of K sets of parameters and K channel information according to an embodiment of the present application; as shown in the appendix Figure 10 In Example 10, the K channel information respectively corresponds to K layers. In the appendix Figure 10 the K sets of parameters are respectively represented as parameter set #0, …, parameter set #(K - 1); the K channel information are respectively represented as channel information #0, …, channel information #(K - 1); the K layers are respectively represented as layer 1, …, layer K.

[0740] As an embodiment, K is a positive integer not greater than 4.

[0741] As an embodiment, K is a positive integer not greater than 8.

[0742] As an embodiment, K is a positive integer not greater than 16.

[0743] As an embodiment, the first channel information is any one of the K channel information.

[0744] As an embodiment, the K layers are respectively K MIMO layers.

[0745] As an embodiment, the K layers are respectively K transmission layers.

[0746] As an embodiment, K is the number of layers.

[0747] As an embodiment, the number of layers refers to: number of MIMO layers.

[0748] As an embodiment, the number of layers refers to: number of transmission layers.

[0749] As an embodiment, the number of layers refers to: transmission rank.

[0750] As an embodiment, the K layers are respectively layer 1, layer 2,..., layer K.

[0751] As an embodiment, l is not greater than K.

[0752] As an embodiment, l is any positive integer not greater than K.

[0753] As a preferred embodiment, the first information block indicates K.

[0754] As an embodiment, the K channel information is PMI.

[0755] As an embodiment, the K channel information is codebook-based PMI.

[0756] As a preferred embodiment, the K channel information is Type II codebook-based PMI.

[0757] As an embodiment, the K channel information are respectively the PMI for the K layers.

[0758] As an embodiment, the K channel information respectively includes parts of the PMI based on the Type II codebook for the K layers.

[0759] As an embodiment, the K channel information respectively includes parts of the PMI based on the Type II codebook that are used to generate the precoding matrices for the K layers.

[0760] As an embodiment, any one of the K channel information includes a part of the PMI based on the Type II codebook that is only used to generate the precoding matrix for the layer targeted by this channel information, and one of the K channel information further includes a part of the PMI based on the Type II codebook that is used to generate the precoding matrices for each of the K layers.

[0761] As an embodiment, the second channel information among the K channel information is for layer v among the K layers. For any layer v1 other than layer v among the K layers, the channel information corresponding to layer v1 among the K channel information and the second channel information are jointly used to generate the precoding matrix for layer v1; for layer v, only the second channel information among the K channel information is used to generate the precoding matrix for layer v.

[0762] As a sub - embodiment of the above - mentioned embodiment, v is equal to 1.

[0763] As a sub - embodiment of the above - mentioned embodiment, v is equal to l.

[0764] As an embodiment, the K channel information are respectively used to determine K groups of precoding matrices, and the K groups of precoding matrices are respectively the precoding matrices for the K layers.

[0765] As a preferred embodiment, the K channel information is for the same group of sub - bands.

[0766] As an embodiment, the CSI reporting bands of the K channel information are the same group of sub - bands.

[0767] As an embodiment, the same group of sub - bands is the W1 sub - bands.

[0768] As an embodiment, the embodiments of the sub - bands refer to Embodiment 1.

[0769] As an embodiment, the K channel information is for the same CSI reporting band.

[0770] As a preferred embodiment, the K channel information is for the same CSI reference resource.

[0771] As an example, the K channel information is for the same time-frequency resource.

[0772] As a preferred example, any one of the K channel information depends on the measurement on the first RS resource.

[0773] As an example, the first node obtains a channel measurement for calculating any one of the K channel information based on the first RS resource.

[0774] As an example, the first parameter set is the parameter set among the K parameter sets that is used to generate the first channel information.

[0775] As an example, two channel information respectively generated based on any two different parameter sets among the K parameter sets have different payload sizes.

[0776] As an example, any two different parameter sets among the K parameter sets include parameters related to different vectors and numbers of coefficients or different quantization-related parameters.

[0777] As an example, the numbers of non-zero amplitude coefficients indicated by two channel information respectively generated based on any two different parameter sets among the K parameter sets are different.

[0778] As an example, the numbers of non-fixed-phase coefficients indicated by two channel information respectively generated based on any two different parameter sets among the K parameter sets are different.

[0779] As an example, the numbers of non-fixed sub-band amplitude coefficients indicated by two channel information respectively generated based on any two different parameter sets among the K parameter sets are different.

[0780] As an example, the quantization precisions of at least one of the amplitude coefficients or phase coefficients indicated by two channel information respectively generated based on any two different parameter sets among the K parameter sets are different.

[0781] As an example, any two different parameter sets among the K parameter sets include some identical parameters.

[0782] As an example, at least two different parameter sets among the K parameter sets include some identical parameters.

[0783] As an example, any two parameter sets among the K parameter sets are different.

[0784] As an example, there are two identical parameter sets among the K parameter sets.

[0785] As an example, each of the K parameter sets depends on which layer its corresponding layer is.

[0786] As an example, the smaller the l, the higher the importance of layer l among the K layers.

[0787] Example 11

[0788] Embodiment 11 exemplifies a schematic diagram in which K channel information according to an embodiment of the present application is respectively used to generate K groups of precoding matrices; as shown in the appendix Figure 11 As shown. In Embodiment 11, the K groups of precoding matrices are used to generate W cascaded precoding matrices. The W cascaded precoding matrices are respectively for W PMI sub-bands. Any one of the W cascaded precoding matrices is formed by cascading one precoding matrix from each of the K groups of precoding matrices. In the appendix Figure 11 the K channel information is respectively represented as channel information #0,..., channel information #(K - 1); the K groups of precoding matrices are respectively represented as precoding matrix group #0,..., precoding matrix group #(K - 1); the W PMI sub-bands are respectively represented as PMI sub-band #0,..., PMI sub-band #(W - 1).

[0789] In the appendix Figure 11 (a), the W cascaded precoding matrices are respectively represented as cascaded precoding matrix #0,..., cascaded precoding matrix #(W - 1); the number of precoding matrices included in any one of the K groups of precoding matrices is equal to W. The W precoding matrices included in any one of the K groups of precoding matrices are respectively for the W PMI sub-bands. The W precoding matrices included in precoding matrix group #p (p = 0 to K - 1) are respectively represented as precoding matrix #(p,0),..., precoding matrix #(p,W - 1); any one of the W cascaded precoding matrices is formed by cascading the precoding matrices for the same PMI sub-band from each of the K groups of precoding matrices.

[0790] In the appendix Figure 11In (b), any one of the W PMI sub - bands is composed of all or part of the RBs in one of the W1 sub - bands. Each group of precoding matrices in the K1 groups of precoding matrices among the K groups of precoding matrices includes the number of precoding matrices equal to W1. Each group of precoding matrices in the K2 groups of precoding matrices among the K groups of precoding matrices includes the number of precoding matrices equal to W. Each of the W1 precoding matrices included in any one of the K1 groups of precoding matrices is respectively for the W1 sub - bands. Each of the W precoding matrices included in any one of the K2 groups of precoding matrices is respectively for the W PMI sub - bands.

[0791] In the appendix Figure 11 In (b), the W1 sub - bands are respectively represented as sub - band #0, …, sub - band #(W1 - 1); each of the W1 precoding matrices included in any one of the precoding matrix groups #p1 (0 ≤ p1 ≤ K - 1) in the K1 groups of precoding matrices is respectively represented as precoding matrix #(p1,0), …, precoding matrix #(p1,W1 - 1); each of the W precoding matrices included in any one of the precoding matrix groups #p2 (0 ≤ p2 ≤ K - 1) in the K2 groups of precoding matrices is respectively represented as precoding matrix #(p2,0), …, precoding matrix #(p2,W - 1).

[0792] In the appendix Figure 11 In (b), the cascaded precoding matrix #t (t = 0 to W - 1) is any one of the W cascaded precoding matrices. The cascaded precoding matrix #t is for the PMI sub - band #t, and the sub - band #j includes the PMI sub - band #t. The cascaded precoding matrix #t includes the precoding matrix for the sub - band #j in each group of precoding matrices in the K1 groups of precoding matrices, and includes the precoding matrix for the PMI sub - band #t in each group of precoding matrices in the K2 groups of precoding matrices.

[0793] In the appendix Figure 11 In (b), the precoding matrix group #0 is one of the K2 groups of precoding matrices, and the precoding matrix group #(K - 1) is one of the K1 groups of precoding matrices.

[0794] Example 12

[0795] Example 12 exemplifies a schematic diagram in which K channel information according to an embodiment of the present application is respectively used to generate K groups of precoding matrices; as shown in the appendix Figure 12As shown in the figure. In Embodiment 12, any one of the K groups of precoding matrices includes N sub - groups of precoding matrices, and the N sub - groups of precoding matrices are respectively for N time - slot intervals; any one of the sub - groups of precoding matrices includes W precoding matrices respectively for W PMI sub - bands; the K groups of precoding matrices are used to generate N groups of cascaded precoding matrices, the N groups of cascaded precoding matrices are respectively for the N time - slot intervals, and any one of the N groups of cascaded precoding matrices includes W cascaded precoding matrices respectively for W PMI sub - bands; the W cascaded precoding matrices in any one of the N groups of cascaded precoding matrices are formed by cascading the precoding matrices for the same PMI sub - band in the sub - groups of precoding matrices corresponding to the same time - slot interval in each of the K groups of precoding matrices.

[0796] In the appendix Figure 12 Among them, the K channel information is respectively represented as channel information #0, …, channel information #(K - 1); the K groups of precoding matrices are respectively represented as precoding matrix group #0, …, precoding matrix group #(K - 1); the W PMI sub - bands are respectively represented as PMI sub - band #0, …, PMI sub - band #(W - 1); the N sub - groups of precoding matrices included in precoding matrix group #p (p = 0 to K - 1) are respectively represented as precoding matrix sub - group #(p,0), …, precoding matrix sub - group #(p,N - 1); the W precoding matrices included in precoding matrix sub - group #(p,ι) (p = 0 to K - 1, ι = 0 to N - 1) are respectively represented as precoding matrix #(p,ι,0) …, precoding matrix #(p,ι,W - 1); the N groups of cascaded precoding matrices are respectively represented as cascaded precoding matrix group #0, …, cascaded precoding matrix group #(N - 1); the W cascaded precoding matrices included in cascaded precoding matrix group #ι (ι = 0 to N - 1) are respectively represented as cascaded precoding matrix #(ι,0) …, cascaded precoding matrix #(ι,W - 1).

[0797] Example 13

[0798] Embodiment 13 exemplifies a schematic diagram of a first information block including a first channel quality according to an embodiment of the present application; as shown in the appendix Figure 13 As shown. In Embodiment 13, the calculation of the first channel quality is conditional on the K channel information.

[0799] As a preferred embodiment, the first channel quality includes CQI.

[0800] As an embodiment, the first channel quality includes RSRP.

[0801] As an embodiment, the first channel quality includes SINR.

[0802] As an embodiment, the first channel quality includes RSRQ.

[0803] As an embodiment, the first channel quality is CQI.

[0804] As an embodiment, the first channel quality is RSRP.

[0805] As an embodiment, the first channel quality is SINR.

[0806] As an embodiment, the first channel quality is RSRQ.

[0807] As a preferred embodiment, the first channel quality depends on the measurement on the first RS resource.

[0808] As an embodiment, the first node obtains channel measurements for calculating the first channel quality based on the first RS resource.

[0809] As an embodiment, K is the number of layers, and the calculation of the first channel quality is conditional on the K channel information and the K.

[0810] As an embodiment, the K channel information is respectively used to determine K groups of precoding matrices, the K groups of precoding matrices are used to generate at least one cascaded precoding matrix, and the calculation of the first channel quality is conditional on the at least one cascaded precoding matrix.

[0811] As an embodiment, K is the number of layers, the K channel information is respectively used to determine K groups of precoding matrices, the K groups of precoding matrices are used to generate at least one cascaded precoding matrix, and the calculation of the first channel quality is conditional on the K and the at least one cascaded precoding matrix.

[0812] As an embodiment, the first channel quality is the highest CQI index that satisfies the following conditions:

[0813] Using the modulation scheme, target coderate, and transport block size combination corresponding to a CQI index, and occupying a PDSCH transport block of the CSI reference resource, it can be received with a transport block error probability not exceeding a second threshold.

[0814] As a sub - embodiment of the above embodiment, the second threshold is equal to 0.1.

[0815] As a sub - embodiment of the above - mentioned embodiment, the second threshold is equal to 0.00001.

[0816] As a sub - embodiment of the above - mentioned embodiment, the CSI reference resource is the CSI reference resource of the first channel quality.

[0817] As a sub - embodiment of the above - mentioned embodiment, the CSI reference resource is the CSI reference resource of the first channel information.

[0818] As a sub - embodiment of the above - mentioned embodiment, the CSI reference resource is the CSI reference resource of the K channel information.

[0819] As a sub - embodiment of the above - mentioned embodiment, the number of layers of the PDSCH signal carrying the one PDSCH transport block is equal to the K.

[0820] As a sub - embodiment of the above - mentioned embodiment, the K channel information is respectively used to determine K sets of precoding matrices, and the PDSCH signal carrying the one PDSCH transport block uses the K sets of precoding matrices.

[0821] As a reference embodiment of the above - mentioned sub - embodiment, the K layers of the PDSCH signal carrying the one PDSCH transport block respectively use the K sets of precoding matrices.

[0822] As a sub - embodiment of the above - mentioned embodiment, the K channel information is respectively used to determine K sets of precoding matrices, the K precoding matrices are used to generate at least one cascaded precoding matrix, and the PDSCH signal carrying the one PDSCH transport block uses the K precoding matrices.

[0823] As an embodiment, the definition of the CSI reference resource refers to 3GPP TS38.214.

[0824] Example 14

[0825] Embodiment 14 exemplifies a schematic diagram of a second information block according to an embodiment of the present application; as shown in the appendix Figure 14 As shown. In Embodiment 14(a), the second information block indicates the K parameter sets; in Embodiment 14(b), the second information block indicates some of the K parameter sets.

[0826] As an embodiment, the second information block indicates each of the K parameter sets.

[0827] As an embodiment, the second information block respectively indicates each of the K parameter sets.

[0828] As an example, the second information block does not repeatedly indicate the same parameter sets among the K parameter sets.

[0829] As an example, the second information block explicitly indicates each of the K parameter sets.

[0830] As an example, the second information block explicitly indicates each parameter in each of the K parameter sets.

[0831] As an example, the second information block separately indicates the K parameter sets.

[0832] As an example, the second information block separately indicates the K parameter sets from among a plurality of candidate parameter sets.

[0833] As an example, the second information block only indicates the portion of each of the K parameter sets that is different from a reference parameter set.

[0834] As a sub - example of the above example, the reference parameter set is configured by higher - layer signaling.

[0835] As a sub - example of the above example, the reference parameter set is configured for the first node.

[0836] As a sub - example of the above example, the reference parameter set is reported by the first node.

[0837] As an example, the second information block implicitly indicates the K parameter sets.

[0838] As an example, the second information block indicates the K parameter sets by indicating other information.

[0839] As an example, the other information includes, but is not limited to, one or more of channel environment type, moving speed, sub - carrier spacing, carrier frequency, delay spread, Doppler spread, Doppler shift, average delay, and spatial reception parameters.

[0840] As an example, the second information block indicates all the parameters in one of the K parameter sets and indicates the portions of the other parameter sets among the K parameter sets that are different from the one parameter set.

[0841] As an example, the second information block indicates only some of the K parameter sets.

[0842] As a sub - example of the above example, another portion of the K parameter sets is configured for the first node.

[0843] As a sub - embodiment of the above - mentioned embodiment, another part of the K parameter sets is configured for the first node by higher - layer parameters.

[0844] As a sub - embodiment of the above - mentioned embodiment, the second information block respectively indicates each parameter set in the partial parameter sets.

[0845] As a sub - embodiment of the above - mentioned embodiment, the second information block respectively indicates each parameter set in the partial parameter sets from multiple candidate parameter sets.

[0846] As a sub - embodiment of the above - mentioned embodiment, the second information block only indicates the part of each parameter set in the partial parameter sets that is different from a reference parameter set.

[0847] As an embodiment, the first node determines the K parameter sets.

[0848] As an embodiment, the first node determines the K parameter sets by itself.

[0849] As an embodiment, the first node determines a part of the K parameter sets by itself, and the first node is instructed about another part of the K parameter sets.

[0850] As a sub - embodiment of the above - mentioned embodiment, the second information block only indicates the part of the parameter sets.

[0851] As an embodiment, the way the first node determines any one of the K parameter sets is similar to the way the first node determines the first parameter set.

[0852] Example 15

[0853] Embodiment 15 exemplifies a schematic diagram of a first time - frequency resource according to an embodiment of the present application; as shown in the appendix Figure 15 In Embodiment 15, the first channel information is for the first time - frequency resource, and the first information block indicates the first time - frequency resource.

[0854] As an embodiment, all the K channel information is for the first time - frequency resource.

[0855] As an embodiment, that a channel information is for a time - frequency resource includes: the channel information is related to the time - frequency resource.

[0856] As an embodiment, that a channel information is for a time - frequency resource includes: the channel information is reported for the time - frequency resource.

[0857] As an example, a channel information for a time-frequency resource includes, and the channel information is valid within the time-frequency resource.

[0858] As an example, a channel information for a time-frequency resource includes: the channel measurement used to calculate the channel information is obtained from the RS located within the time-frequency resource.

[0859] As an example, a channel information for a time-frequency resource includes: the CSI reference resource of the channel information is the time-frequency resource.

[0860] As an example, the definition of the CSI reference resource refers to 3GPP TS38.214.

[0861] As an example, a channel information for a time-frequency resource includes: the channel information reflects the channel state within the time-frequency resource.

[0862] As an example, the first time-frequency resource includes a continuous time period in the time domain.

[0863] As an example, the first time-frequency resource includes a continuous time period expressed in s, ms or μs in the time domain.

[0864] As an example, the first time-frequency resource includes a positive integer number of symbols in the time domain.

[0865] As an example, the symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0866] As an example, the symbol is obtained after the output of the transform precoding passes through OFDM symbol generation.

[0867] As an example, the symbol includes a prefix.

[0868] As an example, the first time-frequency resource includes a positive integer number of slots in the time domain.

[0869] As an example, the first time-frequency resource includes a positive integer number of frames or sub-frames in the time domain.

[0870] As an example, the first time-frequency resource includes a continuous frequency domain resource in the frequency domain.

[0871] As an embodiment, the first time-frequency resource includes a discontinuous frequency-domain resource in the frequency domain.

[0872] As an embodiment, the first time-frequency resource includes a frequency-domain resource expressed in Hz, kHz, or MHz in the frequency domain.

[0873] As an embodiment, the first time-frequency resource includes a positive integer number of subcarriers in the frequency domain.

[0874] As an embodiment, the first time-frequency resource includes a positive integer number of RBs (Resource Blocks) in the frequency domain.

[0875] As an embodiment, the first time-frequency resource includes a positive integer number of sub-bands in the frequency domain.

[0876] As an embodiment, the first time-frequency resource includes the W1 sub-bands in the frequency domain.

[0877] As an embodiment, the first time-frequency resource includes the W PMI sub-bands in the frequency domain.

[0878] As an embodiment, the first time-frequency resource includes the N time slot intervals in the time domain.

[0879] As an embodiment, the frequency density per port per PRB of the first RS resource within the frequency-domain resource of the first time-frequency resource is not less than the density at which the first RS resource is configured.

[0880] As an embodiment, the first node does not expect the frequency density per port per PRB of the first RS resource within the frequency-domain resource of the first time-frequency resource to be less than the density at which the first RS resource is configured.

[0881] As an embodiment, the first node obtains channel measurements for calculating the first channel information only based on the first RS resource not later than the transmission occasion of the first time-frequency resource in the time domain.

[0882] As an embodiment, all of the K channel information is for the first time-frequency resource.

[0883] As an embodiment, the first information block explicitly indicates the first time-frequency resource.

[0884] As an embodiment, the first information block indicates the start time of the first time-frequency resource.

[0885] As an embodiment, the first information block indicates the time-domain length of the first time-frequency resource.

[0886] As an embodiment, the first information block indicates the lowest frequency point of the first time-frequency resource.

[0887] As an embodiment, the first information block indicates the frequency-domain length of the first time-frequency resource.

[0888] As an embodiment, the first information block implicitly indicates the first time-frequency resource.

[0889] As an embodiment, the first node determines the first time-frequency resource by itself.

[0890] The advantages of the above method include that it gives the first node sufficient freedom to determine the time-frequency resource targeted by the first channel information according to the actual channel conditions, optimizing the reporting.

[0891] Generally speaking, how the first node determines the first time-frequency resource is determined by the hardware device manufacturer itself. The following are some non-limiting implementation manners:

[0892] As an embodiment, the first node determines the time-domain length of the first time-frequency resource by itself.

[0893] As an embodiment, the first node determines the frequency-domain length of the first time-frequency resource by itself.

[0894] As an embodiment, the first node determines the first time-frequency resource according to the measurement of the RS.

[0895] As an embodiment, the first node determines the first time-frequency resource based on the indication from the network side and the measurement of the RS.

[0896] As an embodiment, the first node determines the first time-frequency resource by determining the change speed of the channel in the time domain or the frequency domain.

[0897] As an embodiment, the first node selects the first time-frequency resource such that the change of the channel within the first time-frequency resource is less than a threshold.

[0898] As an embodiment, the first node inputs the RS measurement result into an inference, and the output of the inference indicates the first time-frequency resource.

[0899] As an embodiment, the first node determines the first time-frequency resource according to the moving speed.

[0900] As an embodiment, the first node determines the first time-frequency resource according to the received beam update or TCI update speed.

[0901] As an embodiment, the first node randomly divides a time-frequency range to obtain a plurality of time-frequency resources, and the first time-frequency resource is one of the plurality of time-frequency resources.

[0902] Example 16

[0903] Embodiment 16 exemplifies a schematic diagram of a first configuration information block according to an embodiment of the present application; as shown in the appendix Figure 16 as shown.

[0904] As an embodiment, the first configuration information block is carried by higher layer signaling.

[0905] As an embodiment, the first configuration information block is carried by RRC signaling.

[0906] As an embodiment, the first configuration information block is carried by one or more RRC IEs (Information Elements).

[0907] As an embodiment, the first configuration information block includes some or all of the information in one or more RRC IEs.

[0908] As an embodiment, the first configuration information block includes some or all of the information in the CSI-ReportConfig IE.

[0909] As an embodiment, the first configuration information block includes some or all of the information in the CSI-MeasConfig IE.

[0910] As an embodiment, the first configuration information block includes some or all of the information in the ServingCellConfig IE.

[0911] As an embodiment, the first configuration information block includes some or all of the information in the CellGroupConfig IE.

[0912] As an embodiment, the first configuration information block includes some or all of the information in the CSI-ResourceConfig IE.

[0913] As an embodiment, the first configuration information block includes some or all of the information in the CSI-SSB-ResourceSet IE.

[0914] As an embodiment, the first configuration information block includes some or all of the information in the NZP-CSI-RS-ResourceSet IE.

[0915] As an embodiment, the first configuration information block is transmitted on the PDSCH.

[0916] As an embodiment, the first configuration information block indicates the first RS resource.

[0917] As an embodiment, the first configuration information block indicates that the first RS resource is used for channel measurement.

[0918] As an embodiment, the first configuration information block indicates an identifier in the first RS resource.

[0919] As a sub - embodiment of the above - mentioned embodiment, the identifier in the first RS resource is NZP - CSI - RS - ResourceId or SSB - Index.

[0920] As an embodiment, the first RS resource belongs to an RS resource set, and the first configuration information block indicates the RS resource set.

[0921] As a sub - embodiment of the above - mentioned embodiment, the first configuration information block indicates the first RS resource by indicating the RS resource set.

[0922] As a sub - embodiment of the above - mentioned embodiment, the RS resource set is a CSI - RS resource set or a CSI - SSB (Synchronization Signal Block) resource set.

[0923] As an embodiment, the first configuration information block indicates the configuration information of the first information block.

[0924] As an embodiment, the configuration information of the first information block includes a quantity.

[0925] As an embodiment, the quantity is cri - RI - PMI - CQI or cri - RI - LI - PMI - CQI.

[0926] As an embodiment, the configuration information of the first information block includes the physical layer channel carrying the first information block.

[0927] As a sub - embodiment of the above - mentioned embodiment, the physical layer channel carrying the first information block is PUSCH or PUCCH.

[0928] As an embodiment, the configuration information of the first information block includes a time - domain behavior, and the time - domain behavior includes periodic, semi - persistent, and aperiodic.

[0929] As an example, the configuration information of the first information block includes at least one of both a period and a time slot offset.

[0930] As an example, the configuration information of the first information block includes frequency domain resources.

[0931] As an example, the first configuration information block indicates the first RS resource and the configuration information of the first information block.

[0932] As an example, the first configuration information block indicates the first parameter set.

[0933] The advantages of the above method include facilitating unified optimization on the network side and improving system performance.

[0934] As an example, the first configuration information block indicates that the first parameter set is used to generate channel information for layer l.

[0935] As an example, the first configuration information block indicates at least some of the parameters in the first parameter set.

[0936] As an example, the first configuration information block indicates only some of the parameters in the first parameter set.

[0937] Example 17

[0938] Example 17 illustrates a schematic diagram of the first information block belonging to the first data set according to an embodiment of the present application; as shown in the appendix Figure 17 as shown.

[0939] As an example, the first data set is used for training or retraining.

[0940] As a preferred example, the first data set is used for training or retraining of a model.

[0941] As an example, the first data set includes a training data set.

[0942] As an example, the first data set belongs to a training data set.

[0943] As an example, the first data set is a training data set.

[0944] As an example, the training data set of the first model includes the first data set.

[0945] As an example, the first data set is used for performance monitoring.

[0946] As an example, the first data set is used for performance monitoring of a model.

[0947] As an example, the performance detection data set of the first model includes the first data set.

[0948] As an example, the first data set is used for inference.

[0949] As an example, the first data set is used for inference of a model.

[0950] As an example, the first data set includes an inference data set.

[0951] As an example, the first data set belongs to an inference data set.

[0952] As an example, the first data set is an inference data set.

[0953] As an example, the model is an AI model or an ML model.

[0954] As an example, the data set to which the first information block belongs is configured by higher-layer signaling.

[0955] As an example, the data set to which the first information block belongs is configured by RRC signaling.

[0956] As an example, the data set to which the first information block belongs is indicated to the first node by the serving cell of the first node.

[0957] As an example, the data set to which the first information block belongs is indicated to the first node by a core network device.

[0958] As an example, the data set to which the first information block belongs is indicated to the first node by an OTT server.

[0959] As an example, the data set to which the first information block belongs is indicated to the first node by OAM.

[0960] As an example, the data set to which the first information block belongs is indicated to the first node by a NAS device.

[0961] As an example, the data set to which the first information block belongs is reported by the first node.

[0962] As an example, the first information block indicates that the data set to which it belongs is the first data set.

[0963] As an example, the first configuration information block indicates that the data set to which the first information block belongs is the first data set.

[0964] As a preferred example, the first data set is associated with the first identifier.

[0965] As an example, the first information block indicates a first identifier, and the first data set is associated with the first identifier.

[0966] As an example, the first configuration information block indicates a first identifier, and the first data set is associated with the first identifier.

[0967] As an example, that the first data set is associated with the first identifier includes that the first data set is identified by the first identifier.

[0968] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the model is identified by the first identifier.

[0969] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the training or retraining of the model is identified by the first identifier.

[0970] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the inference of the model is identified by the first identifier.

[0971] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the AI function or AI entity (entity) that performs the training or retraining of the model is identified by the first identifier.

[0972] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the AI entity or AI function that performs the inference of the model is identified by the first identifier.

[0973] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the function implemented by the model is identified by the first identifier.

[0974] As an example, that the first data set is associated with the first identifier includes that the first data set is a training data set of a model, and the output of the inference of the model indicates one or more RS resources associated with the first identifier.

[0975] As an example, the first data set associated with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the model is identified by the first identifier.

[0976] As an example, the first data set associated with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the inference or performance monitoring of the model is identified by the first identifier.

[0977] As an example, the first data set associated with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the AI function or AI entity that performs the inference or performance monitoring of the model is identified by the first identifier.

[0978] As an example, the first data set associated with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the function implemented by the model is identified by the first identifier.

[0979] As an example, the first data set associated with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the output indication of the inference of the model is associated with one or more RS resources associated with the first identifier.

[0980] Example 18

[0981] Example 18 exemplifies a schematic diagram of the transmission of a first information block on a first radio bearer according to an embodiment of the present application; as shown in the appendix Figure 18 as shown.

[0982] As an example, the first radio bearer is dedicated to AI or ML.

[0983] As an example, the first radio bearer is dedicated to an AI model or an ML model.

[0984] As an example, the first radio bearer is an SRB (Signalling Radio Bearer) not supported by 3GPP R19 or previous versions, such as SRB6, or SRB7, etc.

[0985] As an example, the first radio bearer is a radio bearer for transmitting unicast data other than a DRB (Data Radio Bearer) and an SRB.

[0986] As a sub - embodiment of the above - mentioned embodiment, the name of the first radio bearer includes RB, and the name of the first radio bearer includes I or AI or ML or LLM.

[0987] As an embodiment, the first radio bearer includes a higher - layer entity that is above PDCP (Packet Data Convergence Protocol) and belongs to Radio Access Network RAN (i.e., does not belong to the core network).

[0988] As a sub - embodiment of the above - mentioned embodiment, the first radio bearer includes the higher - layer entity, a PDCP entity, and an RLC (Radio Link Control) entity.

[0989] Example 19

[0990] Embodiment 19 exemplifies a schematic diagram in which the first channel information and the first model are both associated with a first identifier; as shown in the appendix Figure 19 as follows.

[0991] As an embodiment, each of the K channel information is associated with the first identifier.

[0992] As an embodiment, the first channel quality is associated with the first identifier.

[0993] As an embodiment, the first information block is associated with the first identifier.

[0994] As an embodiment, the first data set is associated with the first identifier.

[0995] As an embodiment, the first RS resource is associated with the first identifier.

[0996] As an embodiment, the first information block indicates the first identifier.

[0997] As an embodiment, the first configuration information block indicates the first identifier.

[0998] As an embodiment, the first identifier is a non - negative integer.

[0999] As an embodiment, the first identifier is a string.

[1000] As an embodiment, the first identifier indicates the association between two or more RS resources.

[1001] As a sub - embodiment of the above - mentioned embodiment, the association includes having the same or similar characteristics.

[1002] As a sub - embodiment of the above - mentioned embodiment, the association includes quasi co - located.

[1003] As a sub - embodiment of the above - mentioned embodiment, the association includes quasi co - located and the corresponding quasi co - located type includes TypeD.

[1004] As a sub - embodiment of the above - mentioned embodiment, the association includes being used to generate the training data set of the same model.

[1005] As a sub - embodiment of the above - mentioned embodiment, the association includes being used to generate the inference data set of the same model.

[1006] As a sub - embodiment of the above - mentioned embodiment, the association includes being used to generate the training data set or the inference data set of the same model.

[1007] As an embodiment, the characteristics include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial reception parameters.

[1008] As an embodiment, the first identifier indicates the association between a data set and a model.

[1009] As a sub - embodiment of the above - mentioned embodiment, the association includes that the one data set belongs to the training data set of the one model.

[1010] As a sub - embodiment of the above - mentioned embodiment, the association includes that the one data set belongs to the inference data set of the one model.

[1011] As an embodiment, the first identifier indicates the association between an RS resource or a set of RS resources and a model.

[1012] As a sub - embodiment of the above - mentioned embodiment, the association includes that the one RS resource or the set of RS resources is used to generate the training data set of the one model.

[1013] As a sub - embodiment of the above - mentioned embodiment, the association includes that the one RS resource or the set of RS resources is used to generate the inference data set of the one model.

[1014] As a sub - embodiment of the above - mentioned embodiment, the association includes that the output of the inference of the one model indicates one or more RS resources in the one RS resource or the set of RS resources.

[1015] As an embodiment, the association of a channel information to a first identifier includes that the data set to which the one channel information belongs is associated with the first identifier.

[1016] As an embodiment, the association of a channel information to a first identifier includes that the one channel information is used for the training or retraining of a model, and the one model is associated with the first identifier.

[1017] As an embodiment, the association of a channel information to a first identifier includes that the one channel information is used for the inference of a model, and the one model is associated with the first identifier.

[1018] As an embodiment, the association of a model to the first identifier includes that the one model is identified by the first identifier.

[1019] As an embodiment, the association of a model to the first identifier includes that the inference of the one model is identified by the first identifier.

[1020] As an embodiment, the association of a model to the first identifier includes that the AI function or AI entity that performs the training of the one model is identified by the first identifier.

[1021] As an embodiment, the association of a model to the first identifier includes that the AI function or AI entity that performs the inference of the one model is identified by the first identifier.

[1022] As an embodiment, the association of a model to the first identifier includes that the training of the one model is identified by the first identifier.

[1023] As an embodiment, the association of a model to the first identifier includes that the training data set of the one model is identified by the first identifier.

[1024] As an embodiment, the association of a model to the first identifier includes that the inference data set or performance monitoring data set of the one model is identified by the first identifier.

[1025] As an embodiment, the association of a model to the first identifier includes that the function implemented by the one model is identified by the first identifier.

[1026] As an embodiment, the association of a model to the first identifier includes that the output of the inference of the one model indicates one or more RS resources associated with the first identifier.

[1027] As an example, the model refers to an AI model or an ML model.

[1028] As an example, associating a channel information with a first identifier includes that the channel measurement for generating the channel information is obtained based on one or more RS resources associated with the first identifier.

[1029] As an example, associating an RS resource with the first identifier includes that the RS resource is configured with the first identifier.

[1030] As an example, associating an RS resource with the first identifier includes that the configuration IE of the RS resource indicates the first identifier.

[1031] As an example, the configuration IE of an RS resource is one of NZP-CSI-RS-Resource IE, CSI-ResourceConfig IE, NZP-CSI-RS-ResourceSet IE or CSI-SSB-ResourceSet IE.

[1032] As an example, associating an RS resource with the first identifier includes that the RS resource and another RS resource associated with the first identifier are quasi co-located.

[1033] As an example, associating an RS resource with the first identifier includes that the RS resource and another RS resource associated with the first identifier have the same or similar characteristics.

[1034] As an example, associating an RS resource with the first identifier includes that the RS resource and another RS resource associated with the first identifier are used to generate a training data set for the same model.

[1035] As an example, associating an RS resource with the first identifier includes that the RS resource and another RS resource associated with the first identifier are used to generate an inference data set for the same model.

[1036] As an example, associating an RS resource with the first identifier includes that the RS resource is used to generate a training data set for a model, and another RS resource associated with the first identifier is used to generate an inference data set for the model.

[1037] As an example, associating an RS resource with the first identifier includes that the RS resource set to which the RS resource belongs is associated with the first identifier.

[1038] As an example, one RS resource is a CSI-RS resource and the set of RS resources to which the one RS resource belongs is a CSI-RS resource set, or one RS resource is an SSB / PBCH block resource and the set of RS resources to which the one RS resource belongs is a CSI-SSB resource set.

[1039] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources is configured with the first identifier.

[1040] As an example, that a set of RS resources is associated with the first identifier includes that the configuration IE of the set of RS resources indicates the first identifier.

[1041] As an example, the configuration IE of a set of RS resources is one of NZP-CSI-RS-ResourceSet IE, CSI-ResourceConfig IE, or CSI-SSB-ResourceSet IE.

[1042] As an example, that a set of RS resources is associated with the first identifier includes that any RS resource in the set of RS resources and any RS resource in another set of RS resources associated with the first identifier are quasi-co-located.

[1043] As an example, that a set of RS resources is associated with the first identifier includes that any RS resource in the set of RS resources and any RS resource in another set of RS resources associated with the first identifier have the same or similar characteristics.

[1044] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources and another set of RS resources associated with the first identifier are used to generate a training data set for the same model.

[1045] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources and another set of RS resources associated with the first identifier are used to generate an inference data set for the same model.

[1046] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources is used to generate a training data set for a model, and another set of RS resources associated with the first identifier is used to generate an inference data set for the model.

[1047] As an example, an RS resource set associated with the first identifier includes that the RS resource set is used to generate a training data set or an inference data set for a model, and the output of the inference of the model indicates one or more RS resources in another RS resource set associated with the first identifier.

[1048] As a preferred example, the first model is an AI model or an ML model.

[1049] As an example, the AI includes ML (Machine Learning).

[1050] As an example, the AI includes AI and ML.

[1051] As an example, the AI includes AI or ML.

[1052] As a preferred example, the first model is obtained through training.

[1053] As an example, the training of the first model is performed by the serving cell of the first node.

[1054] As an example, the training of the first model is performed by the core network.

[1055] As an example, the training of the first model is performed by the MDA function (Management Data Analytics Function).

[1056] As an example, the training of the first model is performed by the NWDAF (Network Data Analytics Function).

[1057] As an example, the training of the first model is performed by the producer of the MDAS (Management Data Analytics Service).

[1058] As an example, the training of the first model is performed by the producer of the MnS (Management Service).

[1059] As an example, the training of the first model is performed by an AI entity or an AI training function.

[1060] As an example, the inference of the first model is performed by an AI entity or an AI inference function.

[1061] As an embodiment, the first model is based on artificial intelligence or machine learning.

[1062] As an embodiment, the first model is based on a Neural Network.

[1063] As an embodiment, the first model is used for the generation of CSI (Channel State Information).

[1064] As an embodiment, the first model is used for beam management or beam prediction.

[1065] As an embodiment, the first model is used for CSI compression.

[1066] As an embodiment, the first model is used for positioning.

[1067] As an embodiment, the output of the first model includes CSI or compressed CSI.

[1068] As an embodiment, the output of the first model includes predicted beam information.

[1069] As an embodiment, the beam information includes at least one of CRI, SSBRI, and RSRP.

[1070] As an embodiment, the first model needs to be deployed.

[1071] As an embodiment, the first model is obtained by loading.

[1072] As an embodiment, the first data set is used for the training of the first model.

[1073] As an embodiment, the training data set of the first model includes the first data set.

[1074] As an embodiment, the first data set is used for the performance monitoring of the first model.

[1075] As an embodiment, the first data set is used for the inference of the first model.

[1076] As an embodiment, the first model is identified by the first identifier.

[1077] As an embodiment, the inference of the first model is identified by the first identifier.

[1078] As an example, the AI function or AI entity that performs the training of the first model is identified by the first identifier.

[1079] As an example, the AI function or AI entity that performs the inference of the first model is identified by the first identifier.

[1080] As an example, the training of the first model is identified by the first identifier.

[1081] As an example, the training data set of the first model is identified by the first identifier.

[1082] As an example, the inference data set of the first model is identified by the first identifier.

[1083] As an example, the performance monitoring data set of the first model is identified by the first identifier.

[1084] As an example, the output of the first model indicates one or more RS resources associated with the first identifier.

[1085] As an example, the first channel information and the first model are both associated with the first identifier, indicating that the first channel information belongs to the training data set of the first model.

[1086] As an example, the first channel information and the first model are both associated with the first identifier, indicating that the first channel information belongs to the inference data set or performance monitoring data set of the first model.

[1087] As an example, the first channel information and the first model are both associated with the first identifier, indicating that the RS resources used to obtain the channel measurements for calculating the first channel information are used to generate the training data set or inference data set of the first model.

[1088] Example 20

[1089] Example 20 illustrates a schematic diagram of deploying the first model according to an embodiment of the present application, as shown in the appendix Figure 20 In Example 20, the first node sends a request to load the first model to the first producer and obtains the first model from the first producer.

[1090] As an example, the first model needs to be deployed.

[1091] As an example, the deployment includes obtaining the first model.

[1092] As an example, the deployment includes obtaining an AI entity.

[1093] As an example, the deployment includes obtaining an AI entity that performs inference of the first model.

[1094] As an example, the deployment includes obtaining an AI function.

[1095] As an example, the deployment includes obtaining an AI function that performs inference of the first model.

[1096] As an example, the deployment includes loading the first model.

[1097] As an example, the deployment includes making a request to load the first model.

[1098] As an example, the Figure 20 request in the attachment is a request made by the first node to load the first model.

[1099] As an example, the Figure 20 response in the attachment is a response to the request made by the first node to load the first model.

[1100] As an example, the first node obtains the first model through the Figure 20 response in the attachment.

[1101] As an example, the first producer provides the first model to the first node through the Figure 20 response in the attachment.

[1102] As an example, the deployment is completed by an AI function.

[1103] As an example, the deployment is completed by an AI function deployed on the first node.

[1104] As an example, the deployment is completed by an AI deployment function.

[1105] As an example, the deployment is completed by an AI deployment function deployed on the first node.

[1106] As an example, the deployment is completed by an AI inference function.

[1107] As an example, the deployment is completed by an AI inference function deployed on the first node.

[1108] As an example, the deployment is completed by an AI entity.

[1109] As an example, the deployment is completed by an AI entity deployed on the first node.

[1110] As an example, the deployment is completed by an AI entity with a deployment function.

[1111] As an example, the deployment is completed by an AI entity with a deployment function deployed on the first node.

[1112] As an example, the deployment is completed by an AI entity with an inference function.

[1113] As an example, the first producer generates and provides an AI model.

[1114] As an example, the first producer generates and provides an AI entity.

[1115] As an example, the first producer generates and provides an AI function.

[1116] As an example, the first producer is the producer of the first model.

[1117] As an example, the first producer is the producer of the training of the first model.

[1118] As an example, the first producer includes an AI entity producer.

[1119] As an example, the first producer includes an AI function producer.

[1120] As an example, the first producer includes an AI deployment producer.

[1121] As an example, the first producer includes an AI training producer.

[1122] As an example, the first producer includes an AI inference producer.

[1123] As an example, the first producer includes the producer of the training of the AI model.

[1124] As an example, the first producer includes an MnS (Management Service) producer.

[1125] As an example, the first producer is the serving cell of the first node.

[1126] As an example, the first producer is the maintenance base station of the serving cell of the first node.

[1127] As an example, the first producer is a core network device.

[1128] As an example, the first producer is a NAS device.

[1129] As an example, the first producer is an OTT server.

[1130] As an example, the training of the first model is performed by the first producer.

[1131] Example 21

[1132] Example 21 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application; as shown in the appendix Figure 21 As shown. In Example 21, the second processor sends a second data set to the third processor and a third data set to the fourth processor; the third processor generates a target first type of parameter group according to the second data set, and the third processor sends the generated target first type of parameter group to the fourth processor; the fourth processor processes the third data set using the target first type of parameter group to obtain a first type of output, and the fourth processor sends the first type of output to the fifth processor. In the appendix Figure 21 In, the first type of feedback and the second type of feedback are optional; the third processor includes an ML training function; the fourth processor includes an ML inference function.

[1133] As an example, the fifth processor includes an ML testing function.

[1134] As an example, the fifth processor includes performance monitoring / evaluation of the ML model.

[1135] As an example, the fifth processor includes the inverse operation of the fourth processor.

[1136] As an example, the fourth processor sends the first type of feedback to the third processor, and the first type of feedback is used to trigger recalculation or update of the target first type of parameter group, that is, to trigger ML initial training or ML retraining.

[1137] As an example, the fifth processor sends a second type of feedback to the second processor, and the second type of feedback is used to generate the second data set or the third data set, or the second type of feedback is used to trigger the transmission of the second data set or the transmission of the third data set.

[1138] As an example, the second processor generates the second data set and the third data set based on the measurement of the reference signal.

[1139] As an example, the fourth processor is located at the first node.

[1140] As an example, the fifth processor is located at the first node or the second node.

[1141] As an example, the fourth processor performs the inference of the first model.

[1142] As an example, the fifth processor performs the inverse operation of the inference of the first model.

[1143] As an example, the third data set includes the measurement for the RS.

[1144] As an example, the third data set includes the reception of the PDSCH.

[1145] As an example, the second data set includes Training Data.

[1146] As an example, the second data set includes the first data set.

[1147] As an example, the third processor is used to train the ML model, and the trained model is described by the target first type of parameter group.

[1148] As an example, the third processor is located at the second node.

[1149] The above embodiments support joint training and optimize the system performance.

[1150] As an example, the third processor is located in the core network.

[1151] The above embodiments support full-network joint training and further optimize the system performance.

[1152] As an example, the third data set includes Inference Data.

[1153] As an example, the fourth processor constructs a model according to the target first type of parameter group, and then inputs the third data set into the constructed model to obtain the first type of output.

[1154] As an example, the fourth processor compares the real data with the first type of output, and the obtained error is used to generate the first type of feedback.

[1155] As an example, the fourth processor generates the first type of feedback through performance monitoring.

[1156] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model does not meet the requirements, the third processor recalculates the target first type of parameter group.

[1157] As an example, the fifth processor compares the real data with the first type of output, and the obtained error is used to generate the second type of feedback.

[1158] As an example, the fifth processor generates the second type of feedback through performance monitoring.

[1159] As an example, the second type of feedback is used to reflect the performance of the trained model; when the performance of the trained model does not meet the requirements, the second processor sends the second data set to trigger or assist the third processor to recalculate the target first type of parameter group.

[1160] As an example, when the error is too large or there is no update for too long, the performance of the trained model is considered not to meet the requirements.

[1161] As an example, the target first type of parameter group includes one or more of: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[1162] As an example, the target first type of parameter group includes one or more of: convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, or parameters of the activation function.

[1163] As an example, the ML includes AI.

[1164] As an example, the ML includes ML and AI.

[1165] Example 22

[1166] Example 22 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; as shown in the appendix Figure 22 as follows. The appendix Figure 22 includes a first operation, a second operation, a third operation, a fourth operation, and a fifth operation. In Example 22, the first operation and the second operation belong to the first stage, the third operation belongs to the second stage, the fourth operation belongs to the third stage, and the fifth operation belongs to the fourth stage. In the appendix Figure 22 the arrowed lines indicate the order of the process.

[1167] As an embodiment, the first operation includes ML training, the second operation includes ML testing, the third operation includes ML emulation, the fourth operation includes ML entity loading, and the fifth operation includes AI inference.

[1168] As an embodiment, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

[1169] As an embodiment, the first stage includes ML model training.

[1170] As an embodiment, the first stage includes ML model training and ML testing.

[1171] As an embodiment, the ML model training includes the initial training and re-training of one or a group of ML models.

[1172] As an embodiment, the ML model training depends on training data.

[1173] As an embodiment, the ML model training includes ML entity validation.

[1174] As an embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[1175] As an embodiment, the ML entity validation depends on validation data.

[1176] As an example, if the result of the ML entity verification does not meet the expectation, the ML model will be retrained.

[1177] As an example, the ML test includes testing the verified ML entity to estimate the performance of the trained ML model.

[1178] As an example, if the result of the ML test meets the expectation, the ML entity proceeds to the next stage; otherwise, the ML model will be retrained.

[1179] As an example, the ML test relies on test data.

[1180] As an example, the second stage includes ML simulation, and the ML simulation performs inference of the ML entity in a simulation environment.

[1181] As an example, the ML simulation estimates the performance of the ML entity inference in a simulation environment before using the ML entity.

[1182] As an example, the second stage is optional.

[1183] As an example, the third stage includes ML entity loading, and the ML entity loading is to obtain the trained ML entity to obtain the desired AI inference function.

[1184] As an example, the third stage is optional.

[1185] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[1186] As an example, the fourth stage includes AI inference.

[1187] As an example, the ML includes AI.

[1188] As an example, the AI includes ML.

[1189] Example 23

[1190] Embodiment 23 exemplifies a schematic diagram of the AI function deployment according to an embodiment of the present application; as shown in the appendix Figure 23 as follows.

[1191] In Embodiment 23, the AI training function in the RAN (Radio Access Network) domain is located in the 3GPP RAN domain-specific management function, while the AI inference function is located in the UE.

[1192] In Embodiment 23, the RAN domain-specific management function provides the management capabilities for the AI training function and the AI inference function.

[1193] Example 24

[1194] Embodiment 24 illustrates a schematic diagram of the AI function deployment according to an embodiment of the present application; as shown in the appendix Figure 24 as shown.

[1195] In Embodiment 24, the AI training function is located in the RAN domain-specific management function, and the AI inference function is located locally in the UE.

[1196] In Embodiment 24, the management capability of the AI training function is provided by the RAN domain-specific management function, and the management capability of the AI inference is provided locally by the UE.

[1197] In the appendix Figure 24 MnF refers to the Management Function.

[1198] Example 25

[1199] Embodiment 25 illustrates a structural block diagram of a processing device in a first node according to an embodiment of the present application; as shown in the appendix Figure 25 as shown. In the appendix Figure 25 the processing device 2500 in the first node includes a receiver 2501 and a first transmitter 2502.

[1200] In Embodiment 25, the first receiver 2501 measures on the first RS resource, and the first transmitter 2502 transmits a first information block.

[1201] In Embodiment 25, the first information block includes first channel information; the first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on the l.

[1202] As an example, the first channel information includes some or all of the information in the codebook-based PMI, and the first parameter set includes the parameters of the codebook.

[1203] As an example, the number of bits included in the first channel information depends on the first parameter set.

[1204] As an example, the layer refers to: MIMO layer.

[1205] As an example, the layer refers to: transmission layer.

[1206] As an example, the first transmitter 2502 transmits a second information block; wherein the second information block indicates the first parameter set.

[1207] As an example, the first information block includes K channel information, where K is a positive integer greater than 1, the first channel information is one of the K channel information, the K channel information respectively corresponds to K layers; K parameter sets are respectively used to generate the K channel information, and at least two of the K parameter sets are different.

[1208] As a sub-example of the example, the first information block indicates the K.

[1209] As a sub-example of the example, any one of the K channel information depends on the measurement on the first RS resource.

[1210] As an example, the first information block includes a first channel quality, and the calculation of the first channel quality is conditional on the K channel information.

[1211] As a sub-example of the example, the first channel quality is CQI.

[1212] As an example, the first transmitter 2502 transmits a second information block; wherein, the second information block indicates all or part of the K parameter sets.

[1213] As an example, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[1214] As an example, the first receiver 2501 receives a first configuration information block; wherein, the first configuration information block indicates at least one of the configuration information of the first RS resource and the first information block.

[1215] As an example, the first information block belongs to a first data set.

[1216] As a sub - example of the example, the first data set is used for the training or retraining of an AI model or an ML model.

[1217] As an example, the first information block is transmitted on a first radio bearer, which is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1218] As an example, the first channel information is associated with a first identifier, and a first model is associated with the first identifier.

[1219] As a sub - example of the example, the first model is an AI model or an ML model.

[1220] As a sub - example of the example, the first model is obtained through training.

[1221] As an example, at least one of the first receiver 2501 and the first transmitter 2502 deploys the first model.

[1222] As an example, at least one of the first receiver 2501 and the first transmitter 2502 performs the inference of the first model.

[1223] As an example, the first node includes a terminal.

[1224] As an example, the terminal includes the first node.

[1225] As an example, the first node includes a user equipment.

[1226] As an example, the first node includes a relay node device.

[1227] As an example, the first receiver 2501 includes at least one of {antenna 452, receiver 454, receive processor 456, multi - antenna receive processor 458, controller / processor 459, memory 460, data source 467} in Example 4.

[1228] As an example, the first transmitter 2502 includes at least one of {antenna 452, transmitter 454, transmit processor 468, multi - antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in Example 4.

[1229] Example 26

[1230] Embodiment 26 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application; as shown in the accompanying Figure 26 drawing. In the accompanying Figure 26 drawing, the processing device 2600 in the second node includes a first processor 2601.

[1231] In Embodiment 26, the first processor 2601 receives a first information block.

[1232] In Embodiment 26, the first information block includes first channel information; the first channel information depends on measurements on a first RS resource; the first channel information is for layer l, and a first parameter set is used to generate the first channel information, and the first parameter set depends on the l.

[1233] As an embodiment, the first channel information includes some or all of the information in a codebook-based PMI, and the first parameter set includes the parameters of the codebook.

[1234] As an embodiment, the number of bits included in the first channel information depends on the first parameter set.

[1235] As an embodiment, the layer refers to: MIMO layer.

[1236] As an embodiment, the layer refers to: transmission layer.

[1237] As an embodiment, the first processor 2601 receives a second information block; wherein the second information block indicates the first parameter set.

[1238] As an embodiment, the first information block includes K channel information, where K is a positive integer greater than 1, the first channel information is one of the K channel information, the K channel information is respectively for K layers; K parameter sets are respectively used to generate the K channel information, and at least two of the K parameter sets are different.

[1239] As a sub-embodiment of the embodiment, the first information block indicates the K.

[1240] As a sub-embodiment of the embodiment, any one of the K channel information depends on the measurement on the first RS resource.

[1241] As an embodiment, the first information block includes a first channel quality, and the calculation of the first channel quality is conditional on the K channel information.

[1242] As a sub-embodiment of the embodiment, the first channel quality is CQI.

[1243] As an example, the first processor 2601 receives a second information block; wherein, the second information block indicates all or part of the parameter sets among the K parameter sets.

[1244] As an example, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[1245] As an example, the first processor 2601 transmits a first configuration information block; wherein, the first configuration information block indicates at least one of the configuration information of the first RS resource and the first information block.

[1246] As an example, the first information block belongs to a first data set.

[1247] As a sub-example of the example, the first data set is used for the training or retraining of an AI model or an ML model.

[1248] As an example, the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1249] As an example, the first channel information is associated with a first identifier, and a first model is associated with the first identifier.

[1250] As a sub-example of the example, the first model is an AI model or an ML model.

[1251] As a sub-example of the example, the first model is obtained through training.

[1252] As an example, the second node includes a base station.

[1253] As an example, the base station includes the second node.

[1254] As an example, the second node includes base station equipment.

[1255] As an example, the second node includes relay node equipment.

[1256] As an example, the second node includes a serving base station for the serving cell of the first node.

[1257] As an example, the second node includes an OTT server (Over-The-Top server).

[1258] As an example, the second node provides OAM (Operation Administration and Maintenance).

[1259] As an example, the second node includes a NAS (Network Access Server).

[1260] As an example, the second node includes a NAS device.

[1261] As an example, the second node provides network access services.

[1262] As an example, the second node includes a core network device.

[1263] As an example, the second node includes a base station device and a core network device.

[1264] As an example, the second node includes a base station device and a NAS device.

[1265] As an example, the second node includes an MDA function producer.

[1266] As an example, the second node includes a NWDAF producer.

[1267] As an example, the second node includes an MDAS producer.

[1268] As an example, the second node includes an MnS producer.

[1269] As an example, the first processor 2601 includes at least one of {antenna 420, receiver / transmitter 418, receive processor 470, transmit processor 416, multi-antenna receive processor 472, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.

[1270] Those of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk, or an optical disc, etc. Optionally, all or part of the steps of the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in a hardware form or in the form of a software functional module. This application is not limited to any specific form of the combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, unmanned aerial vehicles, communication modules on unmanned aerial vehicles, radio-controlled airplanes, aircraft, small airplanes, mobile phones, tablet computers, laptops, vehicle-mounted communication devices, transportation means, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers, and other wireless communication devices. The base station or system equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, aerial base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment, such as transceiver devices or signaling testers that simulate some functions of base stations, and other wireless communication devices.

[1271] Those skilled in the art should understand that the present invention can be implemented in other specified forms without departing from its core or basic characteristics. Therefore, the presently disclosed embodiments should be considered as illustrative rather than restrictive in any case. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and scope thereof are considered to be included therein.

Claims

1. A method in a terminal for wireless communication, characterized in that: include: Measured on the first RS resource; Sending a first information block, wherein the first information block includes first channel information; The first channel information depends on the measurement on the first RS resource; the first channel information is for layer l, a first parameter set is used to generate the first channel information, and the first parameter set depends on l.

2. The method according to claim 1, characterized in that include: sending a second information block; The second information block indicates the first parameter set.

3. The method according to claim 1 or 2, characterized in that: The first information block includes K channel information, where K is a positive integer greater than 1, and the first channel information is one of the K channel information, and the K channel information are respectively for K layers; K parameter sets are respectively used to generate the K channel information, and at least two parameter sets among the K parameter sets are different.

4. The method according to claim 3, characterized in that The first information block includes a first channel quality, and calculation of the first channel quality is conditioned on the K channel information.

5. The method according to claim 3 or 4, characterized in that: include: sending a second information block; The second information block indicates all or part of the K parameter sets.

6. The method according to any one of claims 1 to 5, characterized in that: The first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

7. The method according to any one of claims 1 to 6, characterized in that: include: receiving a first configuration information block; The first configuration information block indicates at least one of the first RS resource and configuration information of the first information block.

8. The method according to any one of claims 1 to 7, characterized in that: The first information block belongs to a first data set.

9. The method according to any one of claims 1 to 8, characterized in that: The first information block is transmitted on a first radio bearer, where the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

10. The method according to any one of claims 1 to 9, characterized in that: The first channel information is associated with a first identifier, and the first model is associated with the first identifier.

11. A terminal, characterized in that: The terminal includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 10.

12. A method in a base station for wireless communication, characterized in that: include: receiving a first information block, wherein the first information block includes first channel information; The first channel information depends on measurement on a first RS resource; the first channel information is for layer l, a first parameter set is used to generate the first channel information, and the first parameter set depends on l.

13. The method according to claim 12, characterized in that include: receiving a second information block; The second information block indicates the first parameter set.

14. The method according to claim 12 or 13, characterized in that The first information block includes K channel information, where K is a positive integer greater than 1, and the first channel information is one of the K channel information, and the K channel information are respectively for K layers; K parameter sets are respectively used to generate the K channel information, and at least two parameter sets among the K parameter sets are different.

15. The method according to claim 14, characterized in that The first information block includes a first channel quality, and calculation of the first channel quality is conditioned on the K channel information.

16. The method according to claim 14 or 15, characterized in that include: receiving a second information block; The second information block indicates all or part of the K parameter sets.

17. The method according to any one of claims 12 to 16, characterized in that The first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

18. The method according to any one of claims 12 to 17, characterized in that include: Sending a first configuration information block; The first configuration information block indicates at least one of the first RS resource and configuration information of the first information block.

19. The method according to any one of claims 12 to 18, characterized in that The first information block belongs to a first data set.

20. The method according to any one of claims 12 to 19, characterized in that The first information block is transmitted on a first radio bearer, where the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

21. The method according to any one of claims 12 to 20, characterized in that The first channel information is associated with a first identifier, and the first model is associated with the first identifier.

22. A base station, characterized in that: The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 12 to 21.

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